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Academic Research Skills
Summary
A four-skill bundle that runs the academic pipeline end to end — deep research, paper writing, peer review and revision — as multi-agent workflows inside Claude Code.
Features
- Deep Research: 13-agent pipeline with eight modes including PRISMA systematic review
- Academic Paper: 12-agent writing pipeline covering drafts, outlines and revisions
- Academic Paper Reviewer: 7-agent multi-perspective, criterion-bound review
- Academic Pipeline: 10-stage orchestrator with integrity verification and two-stage review
- Socratic mode that helps shape a research question before any searching begins
- Flags unsupported claims as material gaps rather than hedging them
- Trigger phrases registered in English, Chinese, Japanese and Korean
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---
name: deep-research
description: "Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 三段式文獻掃描, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題, 심층 연구, 문헌 조사, 체계적 문헌고찰, 메타분석, 사실 확인, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘."
metadata:
version: "2.12.1"
last_updated: "2026-08-15"
status: active
data_access_level: raw
task_type: open-ended
related_skills:
- academic-paper
- academic-pipeline
---
# Deep Research — Universal Academic Research Agent Team
Universal deep research tool — a domain-agnostic 13-agent team for rigorous academic research on any topic.
**v2.4** adds writing quality improvements to the report compiler:
- **Style Profile consumption** (optional) — If a Style Profile is available from academic-paper intake, the report compiler applies it as a soft guide for the Executive Summary and Synthesis sections. Discipline conventions and report objectivity take priority.
- **Writing Quality Check** — The report compiler uses `academic-paper/references/writing_quality_check.md` as a diagnostic guide before finalizing (prompts for judgment subordinate to author and venue requirements, not quotas), and flags claims the cited sources do not support as `[MATERIAL GAP]` rather than hedging them (#825).
> **Routing discipline (v3.9.2):** see `.claude/CLAUDE.md` "Routing Discipline (v3.9.2)" + `shared/references/intent_clarification_protocol.md` for cross-skill routing rules. This skill assumes routing has already settled — ambiguous cross-phase materials should have been clarified upstream.
## Quick Start
**Minimal command:**
```
Research the impact of AI on higher education quality assurance
```
**Socratic mode:**
```
Guide my research on the impact of declining birth rates on private universities
引導我的研究:少子化對私立大學的影響
幫我釐清我的研究方向,我對高教品保有興趣但還不太確定
```
**Execution:**
1. Scoping — Research question + methodology blueprint
2. Investigation — Systematic literature search + source verification
3. Analysis — Cross-source synthesis + bias check
4. Composition — Full APA 7.0 report
5. Review — Editorial + ethics + vulnerability scan
6. Revision — Final polished report
---
## Trigger Conditions
### Trigger Keywords
**English**: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, methodology, APA report, academic analysis, policy analysis, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, monitor this topic, set up alerts
**繁體中文**: 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 證據綜整, 事實查核, 三段式文獻掃描, WHY HOW WHAT 論文比較, 研究方法, 學術分析, 政策分析, 引導我的研究, 幫我釐清, 監測這個主題, 設定追蹤
**한국어**: 심층 연구, 문헌 조사, 문헌 고찰, 체계적 문헌고찰, 메타분석, 근거 종합, 사실 확인, 팩트체크, 연구 방법 설계, 학술 분석, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘, 무엇을 연구할지 모르겠어, 이 주제 계속 모니터링해줘
### Socratic Mode Activation
Activate `socratic` mode when the user's **intent** matches any of the following patterns, **regardless of language**. Detect meaning, not exact keywords.
**Intent signals** (any one is sufficient):
1. User has no clear research question and wants guided thinking
2. User asks to be "led", "guided", or "mentored" through research
3. User expresses uncertainty about what to research or where to start
4. User wants to brainstorm, explore, or clarify a research direction
5. User describes a vague interest without a specific, answerable question
**Default rule**: When intent is ambiguous between `socratic` and `full`, **prefer `socratic`** — it is safer to guide first than to produce an unwanted report. The user can always switch to `full` later.
**Example triggers** (illustrative, not exhaustive):
"guide my research", "help me think through", 「引導我的研究」「幫我釐清」, or equivalent in any language
### Does NOT Trigger
| Scenario | Use Instead |
|----------|-------------|
| Writing a paper (not researching) | `academic-paper` |
| Reviewing a paper (structured review) | `academic-paper-reviewer` |
| Full research-to-paper pipeline | `academic-pipeline` |
### Quick Mode Selection Guide
| Your Situation 你的狀況 | Recommended Mode | Spectrum |
|----------------|-----------------|----------|
| Vague idea, need guidance / 有模糊想法,需要引導 | `socratic` | originality |
| Clear RQ, need comprehensive research / 有明確 RQ,需要完整研究 | `full` | balanced |
| Need a quick brief (30 min) / 需要快速摘要 | `quick` | fidelity |
| Have a paper to evaluate before citing / 有論文需要評估 | `review` | balanced |
| Need literature review for a topic / 需要文獻回顧 | `lit-review` | fidelity |
| Need a fast paper-comparison scan / 需要快速比較多篇論文 | `three-way-scan` | fidelity |
| Need to verify specific claims / 需要查核特定事實 | `fact-check` | fidelity |
| Need systematic review / meta-analysis / 系統性回顧或後設分析 | `systematic-review` | fidelity |
**Spectrum** (v3.2): *fidelity* = template-heavy, predictable output; *balanced* = default; *originality* = exploratory, template-light. See `shared/mode_spectrum.md` for the full cross-skill spectrum table.
Not sure? Start with `socratic` — it will help you figure out what you need.
不確定?先用 `socratic` 模式——它會幫你釐清你需要什麼。
---
## Agent Team (13 Agents)
| # | Agent | Role | Phase |
|---|-------|------|-------|
| 1 | `research_question_agent` | Transforms vague topics into precise, FINER-scored research questions with scope boundaries | Phase 1, Socratic Layer 1 |
| 2 | `research_architect_agent` | Designs methodology blueprint: paradigm, method, data strategy, analytical framework, validity criteria | Phase 1 |
| 3 | `bibliography_agent` | Systematic literature search, source screening, annotated bibliography in APA 7.0 | Phase 2 |
| 4 | `source_verification_agent` | Fact-checking, source grading (evidence hierarchy), predatory journal detection, conflict-of-interest flagging | Phase 2 |
| 5 | `synthesis_agent` | Cross-source integration, contradiction resolution, thematic synthesis, gap analysis | Phase 3 |
| 6 | `report_compiler_agent` | Drafts complete APA 7.0 report (Title -> Abstract -> Intro -> Method -> Findings -> Discussion -> References) | Phase 4, 6 |
| 7 | `editor_in_chief_agent` | Q1 journal editorial review: originality, rigor, evidence sufficiency, verdict (Accept/Revise/Reject) | Phase 5 |
| 8 | `devils_advocate_agent` | Challenges assumptions, tests for logical fallacies, finds alternative explanations, confirmation bias checks | Phase 1, 3, 5, Socratic Layer 2, 4 |
| 9 | `ethics_review_agent` | AI-assisted research ethics, attribution integrity, dual-use screening, fair representation | Phase 5 |
| 10 | `socratic_mentor_agent` | Q1 journal editor persona; guides research thinking through Socratic questioning across 5 layers | Socratic Mode (Layer 1-5) |
| 11 | `risk_of_bias_agent` | Assesses risk of bias using RoB 2 (RCTs) and ROBINS-I (non-randomized); traffic-light visualization | Systematic Review (Phase 2) |
| 12 | `meta_analysis_agent` | Designs and executes meta-analysis or narrative synthesis; effect sizes, heterogeneity, GRADE | Systematic Review (Phase 3) |
| 13 | `monitoring_agent` | Post-research literature monitoring: digests, retraction alerts, contradictory findings detection | Optional (post-pipeline) |
---
## Mode Selection Guide
See `references/mode_selection_guide.md` for the detailed guide.
```
User Input
|
+-- Already have a clear research question?
| +-- Yes --> Need PRISMA-compliant systematic review / meta-analysis?
| | +-- Yes --> systematic-review mode
| | +-- No --> Need a full report?
| | +-- Yes --> full mode
| | +-- No --> Only need literature?
| | +-- Yes --> Need rapid paper comparison?
| | +-- Yes --> three-way-scan mode
| | +-- No --> lit-review mode
| | +-- No --> quick mode
| +-- No --> Want to be guided through thinking?
| +-- Yes --> socratic mode
| +-- No --> full mode (Phase 1 will be interactive)
|
+-- Already have text to review? --> review mode
+-- Only need fact-checking? --> fact-check mode
```
---
## Orchestration Workflow (6 Phases)
```
User: "Research [topic]"
|
=== Phase 1: SCOPING (Interactive) ===
|
|-> [research_question_agent] -> RQ Brief
| - FINER criteria scoring (Feasible, Interesting, Novel, Ethical, Relevant)
| - Scope boundaries (in-scope / out-of-scope)
| - 2-3 sub-questions
|
|-> [research_architect_agent] -> Methodology Blueprint
| - Research paradigm (positivist / interpretivist / pragmatist)
| - Method selection (qualitative / quantitative / mixed)
| - Data strategy (primary / secondary / both)
| - Analytical framework
| - Validity & reliability criteria
|
+-> [devils_advocate_agent] -- CHECKPOINT 1
- RQ clarity and answerable?
- Method appropriate for question?
- Scope too broad or too narrow?
- Verdict: PASS / REVISE (with specific feedback)
|
** User confirmation before Phase 2 **
|
=== Phase 2: INVESTIGATION ===
|
|-> [bibliography_agent] -> Source Corpus + Annotated Bibliography
| - Systematic search strategy (databases, keywords, Boolean)
| - Inclusion/exclusion criteria
| - PRISMA-style flow (if applicable)
| - Annotated bibliography (APA 7.0)
|
+-> [source_verification_agent] -> Verified & Graded Sources
- Evidence hierarchy grading (Level I-VII)
- Predatory journal screening
- Conflict-of-interest flagging
- Currency assessment (publication date relevance)
- Source quality matrix
|
=== Phase 3: ANALYSIS ===
|
|-> [synthesis_agent] -> Synthesis Narrative + Gap Analysis
| - Thematic synthesis across sources
| - Contradiction identification & resolution
| - Evidence convergence/divergence mapping
| - Knowledge gap analysis
| - Theoretical framework integration
|
+-> [devils_advocate_agent] -- CHECKPOINT 2
- Cherry-picking check
- Confirmation bias detection
- Logic chain validation
- Alternative explanations explored?
- Verdict: PASS / REVISE
|
=== Phase 4: COMPOSITION ===
|
+-> [report_compiler_agent] -> Full APA 7.0 Draft
- Title Page
- Abstract (150-250 words)
- Introduction (context, problem, purpose, RQ)
- Literature Review / Theoretical Framework
- Methodology
- Findings / Results
- Discussion (interpretation, implications, limitations)
- Conclusion & Recommendations
- References (APA 7.0)
- Appendices (if applicable)
|
=== Phase 5: REVIEW (Parallel) ===
|
|-> [editor_in_chief_agent] -> Editorial Verdict + Line Feedback
| - Originality assessment
| - Methodological rigor
| - Evidence sufficiency
| - Argument coherence
| - Writing quality (clarity, conciseness, flow)
| - Verdict: ACCEPT / MINOR REVISION / MAJOR REVISION / REJECT
|
|-> [ethics_review_agent] -> Research-Integrity Review + Human-Subjects Administrative Status
| - AI disclosure compliance
| - Attribution integrity
| - Dual-use screening
| - Fair representation check
| - Integrity verdict only: CLEARED / CONDITIONAL / BLOCKED
| - Human subjects: readiness and authorization reported separately; institutional determination required
| - Authority-bound planning: exact requirement IDs + actor/consumer scope only after the #666 replay-validated resolved-context gate
| - Candidate rule trace: display only a replay-validated and surface-linted #669 artifact; never use it as a pathway result or workflow input
| - Packet structure: consume only a replay-validated #667 manifest; deterministic status never becomes authorization or content adequacy
| - Content coverage: consume only a replay-validated #681 `LLM-ADVISORY`; preserve deterministic status and report efficacy as `UNMEASURED`
|
+-> [devils_advocate_agent] -- CHECKPOINT 3
- Final vulnerability scan
- Strongest counter-argument test
- "So what?" significance check
- Verdict: PASS / REVISE
|
=== Phase 6: REVISION ===
|
+-> [report_compiler_agent] -> Final Report
- Address editorial feedback
- Resolve ethics conditions
- Incorporate devil's advocate insights
- Max 2 revision loops
- Remaining issues -> "Acknowledged Limitations" section
```
### Checkpoint Rules
1. ⚠️ **IRON RULE**: **Devil's Advocate** has 3 mandatory checkpoints; **Critical-severity** issues block progression
2. Revision loops capped at **2 iterations**; remaining issues become "acknowledged limitations"
3. ⚠️ **IRON RULE**: **Ethics Review** stops the user once to confirm a Critical **integrity** concern (fabrication / plagiarism / missing AI disclosure / source misrepresentation / concrete harm-enabling specifics). Overridable with recorded reasoning — it confirms, it does not veto. Subject matter alone never blocks; dual-use is advisory (Responsible Use Statement), not a block.
4. User confirmation required after Phase 1 before proceeding
---
## Phase-by-phase Invocation Contract (v3.9.2)
ARS pipeline runs in 6 phases. Two invocation modes:
**Mode A — orchestrator-driven (default):** `pipeline_orchestrator_agent` (in `academic-pipeline` skill) runs all phases end-to-end with state tracking via Material Passport.
**Mode B — phase-by-phase (cross-session resume):** User invokes one agent per phase across sessions for long-running projects. Common pattern via `ARS_PASSPORT_RESET=1` + `resume_from_passport=<hash>` (see `academic-pipeline/references/passport_as_reset_boundary.md`).
In Mode B, **single-phase agents (Bucket A per `docs/design/2026-05-18-ars-v3.9.2-agent-phase-classification.md`) stay strictly within their assigned phase for writes**. Reads from upstream phases are allowed. Multi-phase agents (Bucket B: `devils_advocate_agent`, `report_compiler_agent`) do exactly the work specified by the caller's invocation for that phase — no extension to other phases in the same call.
Routing into Mode B requires explicit user signal — `/ars-<mode>` slash command or `[direct-mode]` prefix. Ambiguous cross-phase input defaults to clarification per `.claude/CLAUDE.md` Routing Discipline + `shared/references/intent_clarification_protocol.md`.
**Enforcement (v3.9.2):** Phase Boundary blocks on Bucket A agents + advisory verifier (`scripts/check_pipeline_integrity.py`) + a deterministic PreToolUse write-scope guard in hook-enabled runtimes (#134 rescope, PR #294). Multi-phase envelope remains forward-scope (#134 Slices 3-5).
---
## Socratic Mode: Guided Research Dialogue
5-layer dialogue guiding users from vague ideas to concrete research questions. Core principle while non-generation Socratic mode is active: ⚠️ **IRON RULE**: Never give direct answers. The explicit candidate-generation exit below leaves that mode before any candidate is shown.
**Layers**: Clarification -> Assumption Probing -> Evidence/Reasoning -> Viewpoint/Perspective -> Implication/Consequence
**Research-question authorship boundary:** Socratic mode is non-generation by
default. Non-convergence may produce only a summary of directions the user has
already expressed plus focused questions or a `lit-review` suggestion; it never
produces candidate RQs automatically. If the user explicitly asks the system to
propose candidates, announce the exit from non-generation Socratic mode and
emit `[SOCRATIC-NON-GENERATION-EXIT: explicit_user_request]` on a standalone
line before any clearly labeled AI-generated candidate. Never switch silently.
> See `references/socratic_mode_protocol.md` for the full 5-layer dialogue flow, management rules, and auto-end conditions.
### Opt-in Reading Probe (v3.5.1)
Setting `ARS_SOCRATIC_READING_PROBE=1` enables a one-time honesty probe during **goal-oriented** Socratic sessions. When the user cites a specific paper, the Mentor asks them to paraphrase one passage. Decline is logged without penalty. Default OFF. See `agents/socratic_mentor_agent.md` §"Optional Reading Probe Layer".
---
## Systematic Review Mode
PRISMA 2020-compliant systematic review with optional meta-analysis. Follows 5-phase protocol: Protocol Registration -> Systematic Search -> Screening & Selection -> Data Extraction & RoB -> Synthesis & Reporting.
> **v3.4.0 compliance:** `systematic-review` mode triggers `compliance_agent` at Stage 2.5 (Methods items) and Stage 4.5 (remaining items + RAISE 8-role matrix). PRISMA-trAIce Mandatory failures block the pipeline. See `shared/compliance_checkpoint_protocol.md`.
> See `references/systematic_review_protocol.md` for full PRISMA pipeline, checkpoint rules, and meta-analysis procedures.
---
## Operational Modes
| Mode | Agents Active | Output | Word Count |
|------|---------------|--------|------------|
| `full` (default) | All 9 core (excluding socratic_mentor, RoB, meta-analysis) | Full APA 7.0 report | 3,000-8,000 |
| `quick` | RQ + Biblio + Verification + Report | Research brief | 500-1,500 |
| `review` | Editor + Devil's Advocate + Ethics | Reviewer report on provided text | N/A |
| `lit-review` | Biblio + Verification + Synthesis | Annotated bibliography + synthesis | 1,500-4,000 |
| `three-way-scan` | Biblio + Verification (retrieval + WHY/HOW/WHAT extract) | Paper shortlist compared by WHY/HOW/WHAT + cross-paper synthesis | 800-2,000 |
| `fact-check` | Source Verification only | Verification report | 300-800 |
| `socratic` | Socratic Mentor + RQ + Devil's Advocate | Research Plan Summary (INSIGHT collection) | N/A (iterative) |
| `systematic-review` | RQ + Architect + Biblio + Verification + RoB + Meta-Analysis + Synthesis + Report + Editor + Ethics + DA | Full PRISMA 2020 report + forest plot data + GRADE table | 5,000-15,000 |
---
## Three-Way Scan Mode (WHY / HOW / WHAT)
Use `three-way-scan` when the user needs a disciplined shortlist of papers compared in a stable frame, but does **not** yet need a full literature review report.
- **WHY**: what problem or bottleneck the paper addresses and why it matters
- **HOW**: what strategy, method, or technical route the paper uses
- **WHAT**: what the paper found, built, or still leaves unresolved
This mode is intentionally lighter than `lit-review`. It prioritizes:
1. candidate retrieval
2. deduplication
3. compact per-paper extraction
4. cross-paper synthesis of shared WHY, divergent HOW, and remaining gaps
Recommended per-paper output:
```markdown
## <paper title>
Source: <provider> | Year: <year> | Link: <url>
- WHY: ...
- HOW: ...
- WHAT: ...
```
Then add:
- common `WHY`
- divergent `HOW`
- strongest `WHAT`
- unresolved global gap
If the user later wants a broader evidence matrix, thematic synthesis, or PRISMA-like coverage, escalate from `three-way-scan` to `lit-review` or `systematic-review`.
---
## Failure Paths
See `references/failure_paths.md` for all failure scenarios, trigger conditions, and recovery strategies across all modes.
Key failure path summary:
| Failure Scenario | Trigger Condition | Recovery Strategy |
|---------|---------|---------|
| RQ cannot converge | Phase 1 / Layer 1 exceeds multiple rounds while still vague | Full mode may use its candidate workflow; Socratic mode summarizes user-expressed directions or suggests `lit-review`, with no candidate generation unless the user explicitly exits non-generation mode |
| Insufficient literature | bibliography_agent finds < 5 sources | Expand search strategy, alternative keywords |
| Methodology mismatch | RQ type misaligned with method capability | Return to Phase 1, suggest 3 alternative methods |
| Devil's Advocate CRITICAL | Fatal logical flaw discovered | STOP, explain the issue, require correction |
| Ethics BLOCKED | Critical integrity issue (not subject matter) | Stop the user once to confirm; list issues + remediation path; overridable with recorded reasoning |
| Socratic non-convergence | > 10 rounds without convergence | Suggest switching to full mode |
| User abandons mid-process | Explicitly states they don't want to continue | Save progress, provide re-entry path |
| Only Chinese-language literature | English search returns empty | Switch to Chinese academic databases |
---
## Literature Monitoring (Optional Post-Pipeline)
Optional post-research monitoring for new publications in the research area.
> See `references/literature_monitoring_strategies.md` for setup instructions across academic databases.
---
## Handoff Protocol: deep-research → academic-paper
After research is complete, the following materials can be handed off to `academic-paper`:
1. **Research Question Brief** (from research_question_agent)
2. **Methodology Blueprint** (from research_architect_agent)
3. **Annotated Bibliography** (from bibliography_agent)
4. **Synthesis Report** (from synthesis_agent)
5. **[If socratic mode] INSIGHT Collection and Research Plan Summary**
6. **Preregistration handoff** — exactly one builder-produced
`preregistration-artifact/1.0` sidecar (including an unavailable receipt) and,
when `status=provided`, its explicitly named companion bytes
**Trigger**: User says "now help me write a paper" or "write a paper based on this"
`academic-paper`'s `intake_agent` will automatically detect available materials and skip redundant steps:
- Has RQ Brief -> skip topic scoping
- Has Bibliography -> skip literature search
- Has Synthesis -> accelerate findings / discussion writing
- Has preregistration sidecar -> strict-validate it and its named companion,
then carry both byte-for-byte; never rebuild it from prose or a template
The non-shell `research_architect_agent` supplies only the explicit caller
declaration and companion handle. Before handoff, a shell-capable dispatcher
must run the named deterministic `build-preregistration-artifact` subcommand in
`scripts/build_cross_document_consistency_advisory.py`, with caller-held RFC3339
`declared_at`. Only that builder may create or update the sidecar. A later
explicit user supply creates a new builder-produced sidecar; omission or silent
substitution is invalid.
See `examples/handoff_to_paper.md` for a detailed handoff example.
---
## Full Academic Pipeline
See `academic-pipeline/SKILL.md` for the complete workflow.
---
## Agent File References
| Agent | Definition File |
|-------|----------------|
| research_question_agent | `agents/research_question_agent.md` |
| research_architect_agent | `agents/research_architect_agent.md` |
| bibliography_agent | `agents/bibliography_agent.md` |
| source_verification_agent | `agents/source_verification_agent.md` |
| synthesis_agent | `agents/synthesis_agent.md` |
| report_compiler_agent | `agents/report_compiler_agent.md` |
| editor_in_chief_agent | `agents/editor_in_chief_agent.md` |
| devils_advocate_agent | `agents/devils_advocate_agent.md` |
| ethics_review_agent | `agents/ethics_review_agent.md` |
| socratic_mentor_agent | `agents/socratic_mentor_agent.md` |
| risk_of_bias_agent | `agents/risk_of_bias_agent.md` |
| meta_analysis_agent | `agents/meta_analysis_agent.md` |
| monitoring_agent | `agents/monitoring_agent.md` |
---
## Reference Files
| Reference | Purpose | Used By |
|-----------|---------|---------|
| `references/apa7_style_guide.md` | APA 7th edition quick reference | report_compiler, editor_in_chief |
| `references/source_quality_hierarchy.md` | Evidence pyramid + grading rubric | source_verification, bibliography |
| `references/methodology_patterns.md` | Research design templates | research_architect |
| `references/logical_fallacies.md` | 30+ fallacies catalog | devils_advocate |
| `references/ethics_checklist.md` | AI disclosure, attribution, dual-use | ethics_review |
| `references/interdisciplinary_bridges.md` | Cross-discipline connection patterns | synthesis, research_architect |
| `references/socratic_questioning_framework.md` | 6 types of Socratic questions + 30+ prompt patterns | socratic_mentor |
| `references/failure_paths.md` | 12 failure scenarios with triggers and recovery paths | all agents |
| `references/mode_selection_guide.md` | Mode selection flowchart and comparison table | orchestrator |
| `references/irb_decision_tree.md` | Portable human-subjects navigation aid; not an authority, universal taxonomy, or pathway determination | ethics_review, research_architect |
| `shared/references/human_subjects_authority_protocol.md` | Exact authority selection, replay validation, actor/consumer filtering, and fail-closed resolved-context gate | ethics_review, research_architect |
| `shared/human_subjects_authority_registry.json` | Bounded jurisdiction profiles with exact requirement IDs, authority anchors, obligated actors, and consumer scopes | ethics_review, research_architect |
| `shared/contracts/human_subjects/resolved_authority_context.schema.json` | Pointer-only resolved-context shape; consumers still require deterministic replay validation | ethics_review, research_architect |
| `shared/references/review_pathway_rule_trace_protocol.md` | Candidate-name ownership, exact selected-profile predicate partition, replay, render, surface lint, and non-consumer boundary (#669) | ethics_review, research_architect |
| `shared/contracts/human_subjects/review_pathway_trace_request.schema.json` | Closed caller-owned candidate mapping; every selected-profile `pathway_trace` requirement is accounted for exactly once | dispatching layer |
| `shared/contracts/human_subjects/review_pathway_rule_trace.schema.json` | Closed candidate-only predicate trace; replay and surface lint remain mandatory | ethics_review, research_architect |
| `shared/references/submission_packet_manifest_protocol.md` | Deterministic packet inventory, authority replay, status, and non-authorization boundary (#667) | ethics_review, research_architect |
| `shared/contracts/human_subjects/submission_packet_manifest.schema.json` | Pointer-only deterministic packet-manifest shape; consumers still require exact replay validation | ethics_review, research_architect |
| `shared/references/authority_content_coverage_advisory_protocol.md` | Replay-bound authority-profile content observations, evidence-row/1.1 provenance, and noninterference boundary (#681) | ethics_review, research_architect |
| `shared/contracts/human_subjects/content_coverage_advisory.schema.json` | Closed `LLM-ADVISORY` carrier; consumers still require finalizer replay validation | ethics_review, research_architect |
| `shared/contracts/evidence/evidence_row_v1_1.schema.json` | Requirement/expectation/artifact-bound bounded excerpt rows for the #681 advisory surface | ethics_review |
| `references/equator_reporting_guidelines.md` | EQUATOR reporting guideline mapping | research_architect, report_compiler |
| `references/preregistration_guide.md` | Preregistration decision tree + platforms + checklist | research_architect |
| `shared/references/cross_document_consistency_advisory_protocol.md` | Exact preregistration sidecar ownership/replay plus #672 advisory and #660 coexistence boundaries | research_architect, academic-paper intake, pipeline orchestrator |
| `shared/contracts/passport/preregistration_artifact.schema.json` | Closed persistent preregistration handoff receipt; companion bytes remain separately named | dispatching layer, intake, pipeline orchestrator |
| `references/systematic_review_toolkit.md` | Cochrane v6.4, PRISMA 2020, RoB 2, ROBINS-I, I² guide, GRADE, protocol registration | risk_of_bias, meta_analysis, bibliography, report_compiler |
| `references/literature_monitoring_strategies.md` | Google Scholar alerts, PubMed alerts, RSS feeds, Retraction Watch, citation tracking, monitoring cadence | monitoring_agent |
| `references/argumentation_reasoning_framework.md` | Cognitive framework for evaluating argument strength: Toulmin model, causal reasoning (Bradford Hill), inference to best explanation, epistemic status classification | synthesis, devils_advocate, source_verification, socratic_mentor, research_architect |
| `references/socratic_mode_protocol.md` | Full 5-layer Socratic dialogue flow, management rules, auto-end conditions | socratic_mentor, research_question |
| `references/systematic_review_protocol.md` | Full PRISMA pipeline, checkpoint rules, meta-analysis procedures | risk_of_bias, meta_analysis, bibliography, report_compiler |
| `references/cross_agent_quality_definitions.md` | Peer-reviewed source tiers, currency standards, severity definitions | all agents |
| `references/changelog.md` | Full version history | — |
---
## Templates
| Template | Purpose |
|----------|---------|
| `templates/research_brief_template.md` | Quick mode output format |
| `templates/literature_matrix_template.md` | Source x Theme analysis matrix |
| `templates/evidence_assessment_template.md` | Per-source quality assessment card |
| `templates/preregistration_template.md` | OSF standard 21-item preregistration template |
| `templates/prisma_protocol_template.md` | PRISMA-P 2015 systematic review protocol template |
| `templates/prisma_report_template.md` | PRISMA 2020 systematic review report template (27 items) |
---
## Examples
| Example | Demonstrates |
|---------|-------------|
| `examples/exploratory_research.md` | Full 6-phase pipeline walkthrough |
| `examples/systematic_review.md` | PRISMA-style literature review |
| `examples/policy_analysis.md` | Applied comparative policy research |
| `examples/socratic_guided_research.md` | Complete Socratic mode multi-turn dialogue (12 rounds) |
| `examples/handoff_to_paper.md` | deep-research full mode handoff to academic-paper |
| `examples/review_mode.md` | Review mode: 3-agent review pipeline for policy recommendation text |
| `examples/fact_check_mode.md` | Fact-check mode: source verification of HEI claims with per-claim verdicts |
| `examples/idea_diversity_coverage_gap_advisory.md` | #257 Socratic wording-pattern + lit-review distributional-skew advisories |
---
## Output Language
Follows the user's language. Academic terminology kept in English. Socratic mode uses natural conversational style.
---
## Anti-Patterns
Explicit prohibitions to prevent common failure modes:
| # | Anti-Pattern | Why It Fails | Correct Behavior |
|---|-------------|-------------|-----------------|
| 1 | **Confirmation bias in source selection** | Only finding sources that support the hypothesis | Devil's Advocate checkpoint must include counter-evidence search |
| 2 | **Cherry-picking evidence** | Citing one supportive study while ignoring three contradicting ones | Report the full evidence landscape including conflicting findings |
| 3 | **Vibe citing** | Mixing elements from 2-3 real papers into a fabricated reference | Every reference must be verified independently; mashup fabrication is the hardest to detect |
| 4 | **⚠️ IRON RULE: Treating "difficult to verify" as acceptable** | Marking a reference as "uncertain" instead of FAIL | Gray zone = FAIL. If you cannot confirm it exists, it does not go in the report |
| 5 | **Skipping phases** | Jumping to synthesis before completing source verification | Complete each phase fully; Phase N output is Phase N+1 input |
| 6 | **Shallow Socratic mode** | Giving answers disguised as questions ("Wouldn't you say X is true?") | Ask genuine questions that expose assumptions; never lead to predetermined conclusions |
| 7 | **Source tier inflation** | Treating a blog post as equivalent to a peer-reviewed journal | Apply evidence hierarchy strictly: Tier 1 (peer-reviewed) > Tier 2 (preprint) > Tier 3 (gray lit) |
## Quality Standards
1. ⚠️ **IRON RULE**: **Every claim must have a citation** — no unsupported assertions
2. **Evidence hierarchy** — meta-analyses > RCTs > cohort studies > case reports > expert opinion (field-neutral baseline; grading is **discipline-relative** — a source meeting its own field's gold standard can reach Grade A even at a low design level. See `references/source_quality_hierarchy.md` §Grading Rubric + §Field-Specific Adjustments)
3. **Contradiction disclosure** — if sources disagree, report both sides with evidence quality comparison
4. **Limitation transparency** — every report must have an explicit limitations section
5. **AI disclosure** — all reports include a statement that AI-assisted research tools were used
6. **Reproducibility** — search strategies, inclusion criteria, and analytical methods must be documented for replication
7. **Socratic integrity** — while non-generation Socratic mode is active, never give direct answers; always guide through questions. A candidate response is lawful only after the explicit exit marker and is outside that mode.
## Cross-Agent Quality Alignment
Unified definitions across all agents. ⚠️ IRON RULE: **CRITICAL severity** = issue that would invalidate a core conclusion or constitute academic misconduct. Requires immediate resolution.
> See `references/cross_agent_quality_definitions.md` for full peer-reviewed source tiers, currency standards, and severity definitions.
---
## Integration with Other Skills
This skill is domain-agnostic but can be combined with domain-specific skills:
```
deep-research + tw-hei-intelligence -> Evidence-based HEI policy research
deep-research + report-to-website -> Interactive research report
deep-research + podcast-script-generator -> Research podcast
deep-research + academic-paper -> Full research-to-publication pipeline
deep-research (socratic) + academic-paper (plan) -> Guided research + paper planning
deep-research (systematic-review) + academic-paper -> PRISMA systematic review paper
```
---
## Model Tiering (#517, optional)
When `ARS_MODEL_TIERING` is set, the dispatching session routes this skill's agents per `shared/model_tiering.md` (canonical: the full 39-agent judgment/execution table + rules). Compact rule:
- **Unset (default):** every agent inherits the session model — byte-equivalent pre-#517 behavior.
- **`economy`** (frontier-tier session): execution-type agents dispatch ONE tier below the session model — floor Opus-class, never lower; judgment-type agents stay on the session model. No-op at or below the floor (announce once).
- **`quality-boost`** (below-frontier session): judgment-type agents at the checkpoint surfaces (Stage 2.5/4.5 gates; the opt-in Stage 4→5 claim–ref audit; final review) jump UP to the frontier tier (however many tiers away — not a single increment); nothing is ever downgraded. No-op at the frontier (announce once).
- Unknown values → warn once, behave as unset. Tiers are relative positions, never hard-pinned model ids. When a direction is active, route repeated same-stage calls to the SAME worker so its prompt cache accumulates; unset means dispatch shapes stay byte-equivalent too.
---
## Version Info
| Item | Content |
|------|---------|
| Skill Version | 2.12.1 |
| Last Updated | 2026-08-15 |
| Maintainer | Cheng-I Wu |
| Dependent Skills | academic-paper v1.0+ (downstream) |
---
## Version History
> See `references/changelog.md` for full version history.
Usage Instructions
Learn how to use this skill with different AI agents.
Install as a plugin marketplace in Claude Code:
/plugin marketplace add Imbad0202/academic-research-skillsThe four skills then trigger on research, writing and review requests. Claude Science users can import the skills directly from GitHub instead.
Clone the repository and symlink the skill folders into your agent's skills directory (~/.claude/skills/ for a global install, or the project's own skills folder). Companion distributions exist for Pi and Codex CLI.
Example Usage
Run a systematic review on the effect of remote work on junior-developer onboarding outcomes.
Deep Research scopes the question, builds a PRISMA-shaped search, verifies sources, assesses risk of bias, synthesises across studies and compiles an APA 7 report — with any claim its sources do not support marked as a material gap rather than smoothed over.
Description
Academic Research Skills (ARS) is a bundle of four Agent Skills that between them cover the research lifecycle: find and synthesise the literature, draft the paper, review it, then revise and finalise. Its explicit stance is human-in-the-loop — the README's framing is that AI is the copilot, not the pilot — and the design reflects that, with checkpoints and provenance recorded at each stage rather than one long autonomous run.
The four skills are:
- Deep Research — a 13-agent pipeline with eight modes, including a quick brief, a PRISMA systematic review with optional meta-analysis, a three-way literature scan, fact-checking, and a Socratic mode that interrogates a half-formed research question before any searching starts.
- Academic Paper — a 12-agent writing pipeline with eleven modes spanning full drafts, outlines, targeted revisions and format conversion.
- Academic Paper Reviewer — a 7-agent review system that produces criterion-bound judgements from several reviewer perspectives rather than one undifferentiated critique.
- Academic Pipeline — a 10-stage orchestrator tying the others together, with integrity verification and a two-stage review.
Two details matter more than the agent counts. The report compiler runs a writing-quality diagnostic before finalising and flags claims the cited sources do not actually support as a material gap, instead of hedging them into plausible-sounding prose — which is the failure mode that makes AI-assisted literature reviews untrustworthy. And risk-of-bias assessment and source verification are separate pipeline stages, not something folded into synthesis.
It targets Claude Code (CLI, VS Code and JetBrains) and Claude Science, with companion distributions for Pi and Codex CLI. Install it as a plugin marketplace, or symlink the folders into ~/.claude/skills/. Trigger phrases are registered in English, Traditional and Simplified Chinese, Japanese and Korean.
One licensing caveat worth reading before you adopt it: ARS is CC-BY-NC 4.0. Attribution is required and commercial use is not permitted — unusual among agent skills, and relevant if your research sits inside a company.
Related Skills
The master skill in PlanetScale's official pack: runs a full read-only best-practices assessment of a database or org, then produces one evidence-backed report.
Build crash-safe AI agents on AgentKit and step.ai — durable tool calls, human-in-the-loop approval, realtime progress, and when not to reach for an agent loop at all.
Inngest's durable-execution playbook as an agent skill — steps and memoisation, event and cron triggers, idempotency, cancellation, retries and non-retriable errors.