20 Agnost AI Integration alternatives
Agnost AI Integration: Walks a coding agent through wiring Agnost AI conversation analytics into a Python or TypeScript app — inspecting existing OpenTelemetry first and only adding an SDK when the traces are not usable. 20 agent skills do similar work, most sharing Evaluation, MCP and Observability, ranked by how much they have in common with Agnost AI Integration.
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by Anthropic
Anthropic's guide for building high-quality MCP servers end to end — research, tool design, implementation in TypeScript or Python, testing, and a 10-question evaluation suite.
Also: Evaluation, MCP, Python, TypeScript
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by Grafana Labs
Grafana's official Alloy skill: write one collector config that carries metrics, logs, traces and profiles, validate it locally, and prove samples are actually leaving the box.
Also: Observability, OpenTelemetry
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by Grafana Labs
Grafana's official Tempo skill: stand up a tracing backend that needs nothing but object storage, then write TraceQL that finds the slow span instead of scrolling for it.
Also: Observability, OpenTelemetry
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by Elastic
Elastic's official skill for monitoring LLM and agent workloads — token cost, latency, response quality and workflow orchestration, queried with ES|QL.
Also: Observability, OpenTelemetry
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by OpenSearch Project
Investigate OpenTelemetry traces stored in OpenSearch — slow and error spans, reconstructed trace trees, service maps, plus agent invocation and token-usage analysis.
Also: Observability, OpenTelemetry
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by SerpApi
A protocol for measuring whether agents can discover and use your tool without being told about it — WITH/WITHOUT trials, binary scoring, and lift as the only metric. The subject under test is your docs, not the model.
Also: Evaluation, MCP
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by NVIDIA
Diagnoses wrong gradients in differentiable NVIDIA Warp programs by measuring first — comparing autodiff against finite differences on a shrunk reproduction before proposing any fix.
Also: Evaluation, Python
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by NVIDIA
NVIDIA's official skill for building synthetic datasets with NeMo Data Designer — describe the data you want and the agent writes a declarative generation pipeline, column by column.
Also: Evaluation, Python
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by LaunchDarkly
Design a staged LaunchDarkly rollout — traffic steps, monitoring windows, regression thresholds and automatic rollback — and start it from your coding agent.
Also: MCP, Observability
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by OpenAI
OpenAI's skill for language- and framework-specific secure coding: detect the stack, load the matching reference guidance, then write secure-by-default code, flag critical issues passively, or produce a prioritised vulnerability report with fixes.
Also: Python, TypeScript
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by Amazon Web Services
Official AWS skill for authoring, deploying and debugging CDK stacks — construct patterns, bootstrap, drift, resource import and the CloudFormation errors that trap people.
Also: Python, TypeScript
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by Datadog
Install, instrument and analyse Datadog APM from an agent — Kubernetes and Linux Single-Step Instrumentation, service remapping, trace search and service maps.
Also: OpenTelemetry
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by Tencent
Tencent's skill-evolution harness: it rewrites a whole skill folder — SKILL.md, scripts and references together — and lands every decision as a real Git issue, PR and wiki entry you can review.
Also: Evaluation
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by AMD
AMD's official skill for benchmarking vLLM/SGLang inference and driving GPU kernel optimization with Magpie and TraceLens trace analysis.
Also: Evaluation
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by Addy Osmani
Sends every non-trivial decision to a fresh-context adversarial reviewer before it stands — for production, security-sensitive or irreversible work.
Also: Evaluation
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by Anthropic
Create, edit, and optimize Agent Skills — scaffold new skills, refine existing ones, run evals, and tune descriptions for reliable triggering.
Also: Evaluation
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by Anthropic
Anthropic's official skill that appends 2-3 targeted follow-up questions to a substantive answer, prompting the reader to check facts, probe assumptions and spot missing context.
Also: Evaluation
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by OpenAI
OpenAI's skill for driving Linear through its MCP server: a read-first workflow for issue triage, sprint planning, documentation audits and workload balancing, with the MCP setup and OAuth steps written out.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch build skill for shadcn/ui — component discovery, installation, customisation and the conventions that keep a generated UI idiomatic.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch skill for autonomous multi-page site building — a baton file carries the next task from one agent iteration to the next.
Also: MCP
