Skills.

Give your AI a better way to work.

A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.

Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.

Category: Monitoring & ops

2,408 results · page 70 of 81

  • agent-harness-logsSkillMonitoring & ops

    Find, inspect, query, redact, and troubleshoot logs, transcripts, sessions, and OpenTelemetry data from coding-agent harnesses on Windows, macOS, Linux, and WSL. USE FOR: GitHub Copilot in VS Code; Copilot CLI; Claude Code; OpenAI Codex; Gemini CLI; OpenCode; Cursor, Windsurf, Kiro, or other VS Code

    Ready to connect

    github.com/netfabric/netfabric.numerics36 stars

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  • ai-investigationSkillMonitoring & ops

    Use when a question needs first-hand evidence rather than an opinion - investigating an unfamiliar OSS AI/agent/LLM project, or tracing exactly how a local workflow behaves with zero assumptions. Runs a zero-belief, falsification-driven investigation on Codex (gpt-5.5, xhigh) and returns a FACT/HYPO

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    github.com/haoxiang-xu/pupu36 stars

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  • comment-responderSkillMonitoring & ops

    Turn every comment into a lead on autopilot. Claude watches your new comments, posts a friendly public reply (never a link), and DMs the commenter your lead magnet / resource — then logs them as a lead. Use when the user says "auto reply to comments", "DM everyone who comments", "comment to DM", "le

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    github.com/ootto-ai/claude-content-skills36 stars

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  • find-hidden-subdomainsSkillMonitoring & ops

    Enumerate an organisation's subdomains and sibling domains from Certificate Transparency logs and passive DNS, without sending traffic to the target. Covers crt.sh and CT log queries, certificate SAN fields, subfinder and amass, and newly issued TLS certificates. Use when looking for staging, dev, a

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    github.com/useosint/skills36 stars

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  • track-planes-and-shipsSkillMonitoring & ops

    Track aircraft and vessels from public ADS-B and AIS broadcasts using ADS-B Exchange, Flightradar24, FlightAware, MarineTraffic, VesselFinder and Equasis. Use when following a tail number or flight, looking up an ICAO 24-bit hex code, registration or callsign, tracing a ship by IMO number or MMSI, c

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    github.com/useosint/skills36 stars

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  • trigonometric-functionsSkillMonitoring & ops

    Abstract math for trigonometric functions: definitions, domains, ranges, key identities, and inverse functions. USE FOR: implementing sin/cos/tan/cot/sec/csc; implementing arcsin/arccos/arctan/atan2/acot/asec/acsc; validating input domains for inverse trig; applying Pythagorean and angle-sum identit

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    github.com/netfabric/netfabric.numerics36 stars

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  • vector-algebraSkillMonitoring & ops

    Abstract math for vector algebra in 2D and 3D Euclidean space. USE FOR: implementing vector operations (add, subtract, negate, scalar multiply/divide); dot product and geometric interpretation; 3D cross product; 2D pseudo-cross product (scalar z-component); vector magnitude and normalization; angle

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    github.com/netfabric/netfabric.numerics36 stars

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  • fix-ci-failuresSkillMonitoring & ops

    Investigate and fix CI failures on a pull request. Use when CI checks fail on a PR branch — covers finding the PR, identifying failed checks, downloading logs and artifacts, extracting the failure cause, and iterating on a fix. Requires the `gh` CLI.

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    github.com/che-incubator/che-code35 stars

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  • ml-researcherSkillMonitoring & ops

    Reason about ML experiment design for healthcare and life sciences data. Use when the user asks to design an ML study, choose a model for clinical/biomedical data, set up cross-validation, pick evaluation metrics, audit fairness, plan a regulatory submission, or critique an ML pipeline on EHR, medic

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    github.com/awslabs/hcls-agent-skills35 stars

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  • ngs-quality-controlSkillMonitoring & ops

    NGS quality control pipeline for short-read sequencing data. Triggers on FastQC, QC, quality control, adapter trimming, coverage, mosdepth, Picard metrics, fastp, MultiQC, sequencing QC, BAM QC, WGS/WES coverage analysis.

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    github.com/awslabs/hcls-agent-skills35 stars

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  • orchestrateSkillMonitoring & ops

    Meta-agent supervisor that manages a fleet of Claude Code agents running in tmux windows. Auto-discovers spare worktrees, spawns agents, monitors state, kicks idle agents, approves safe confirmations, and recycles worktrees when done. TRIGGER when user asks to supervise agents, run parallel tasks, m

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    github.com/hidorakai002/ai-workspace-archive35 stars

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  • otelSkillMonitoring & ops

    OpenTelemetry instrumentation for the Copilot Chat extension — covers the four agent execution paths, the IOTelService abstraction, span/metric/event conventions, and the relationship between code and the user/developer monitoring docs. Use when adding/changing OTel spans, metrics, or events; instru

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    github.com/che-incubator/che-code35 stars

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  • pr-addressSkillMonitoring & ops

    Address PR review comments and loop until CI green and all comments resolved. TRIGGER when user asks to address comments, fix PR feedback, respond to reviewers, or babysit/monitor a PR.

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    github.com/hidorakai002/ai-workspace-archive35 stars

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  • public-contract-changeSkillMonitoring & ops

    Change Labtasker's public Task lifecycle, HTTP API, Python API, CLI, configuration, query language, or persisted schema while keeping every public surface and invariant aligned. Do not use for internal refactors with no observable behavior change.

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    github.com/luocfprime/labtasker35 stars

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  • rwd-cohort-analysisSkillMonitoring & ops

    Real-world data cohort analysis pipeline for claims and EHR data — cohort identification with ICD-10, NDC, and CPT codes, medication adherence metrics (PDC/MPR), propensity score estimation and balance diagnostics, Kaplan-Meier survival curves, and Cox proportional hazards models. Use when the user

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    github.com/awslabs/hcls-agent-skills35 stars

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  • troubleshootSkillMonitoring & ops

    Investigate unexpected behavior in the current Copilot CLI agent session by analyzing its event log. Use when the user asks why something happened, why a request was slow, why a tool was or was not used, or why instructions/skills/agents did not load.

    Ready to connect

    github.com/che-incubator/che-code35 stars

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  • add-llm-evalsSkillMonitoring & ops

    Use this when adding evaluation to an LLM/agent app - measuring output quality (correctness, faithfulness, relevance, safety) rather than just watching traces. Trigger on "add evals", "test my prompt", "is my RAG accurate", "catch regressions", "score outputs", or setting up an eval suite in CI. Cov

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    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • add-llm-fallbacksSkillMonitoring & ops

    Use this to make an LLM app resilient to provider failures, rate limits, timeouts, and outages. Trigger on "handle LLM API errors", "add retries/fallbacks", "the app breaks when OpenAI is down", "rate limit errors", "make my LLM calls reliable", "timeout handling". Add retries, timeouts, and model/p

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    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • add-llm-guardrailsSkillMonitoring & ops

    Use this to add safety and security guardrails to an LLM/agent app - blocking prompt injection, PII leakage, jailbreaks, toxic output, off-topic responses, or invalid structured output. Trigger on "add guardrails", "prevent prompt injection", "stop PII leaks", "validate the model's output", "make th

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    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • build-error-analyzerSkillMonitoring & ops

    This skill should be used when the user asks to "分析构建错误", "analyze build errors", "查看编译错误", "检查构建日志", "诊断链接错误", "fix build errors", "resolve compilation errors", "分析 last_error.log", "extract build error", "分析SDK的编译错误", "分析 SDK 编译错误", "analyze SDK build errors", "check SDK errors", "诊断 sdk 编译错误", or

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    github.com/openharmonyinsight/openharmony-skills32 stars

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  • check-answer-consistencySkillMonitoring & ops

    Use this to get a cheap, reference-free signal that an LLM answer might be made up, by sampling the same prompt a few times and measuring agreement. Trigger on "is this answer reliable", "flag low-confidence answers", "cheap hallucination check", "confidence score without a ground truth", "self-cons

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    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • choose-observability-stackSkillMonitoring & ops

    Use this to recommend an LLM observability / evaluation tool or stack for a specific situation. Trigger on "which observability tool should I use", "compare Langfuse vs Phoenix vs LangSmith", "what's the best LLM monitoring for us", or picking an eval/tracing/gateway tool given constraints (self-hos

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    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • claude-nativeSkillMonitoring & ops

    Monitor Claude Code releases and auto-generate GitHub issues for each new version

    Ready to connect

    github.com/baekenough/oh-my-customcode34 stars

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  • cloud-monitoringSkillMonitoring & ops

    Monitor cloud infrastructure and applications using metrics, logs, and traces to provide real-time observability into performance, health, and reliability.

    Ready to connect

    github.com/h4vzz/awesome-ai-agent-skills34 stars

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  • collect-user-feedbackSkillMonitoring & ops

    Use this to capture user feedback on LLM outputs (thumbs up/down, edits, corrections, implicit signals) and feed it back into observability and evals. Trigger on "add thumbs up/down", "collect feedback on responses", "how do I know if users like the answers", "improve from real usage", "human feedba

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    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • compare-llm-modelsSkillMonitoring & ops

    Use this to pick or switch the LLM behind a feature, based on evidence instead of hype or the newest release. Trigger on "which model should I use", "is GPT/Claude/Gemini/Llama better for this", "should I switch models", "can a cheaper model do this", "compare models for my use case". Evaluate on YO

    Ready to connect

    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • debug-agent-from-tracesSkillMonitoring & ops

    Use this to diagnose WHY an LLM agent or chain produced a wrong, empty, slow, or expensive result, by reading its observability trace. Trigger on "my agent gave the wrong answer", "the chain returned nothing", "why is this so slow/expensive", "debug this trace/run", or when a trace tree is available

    Ready to connect

    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • detect-hallucinationsSkillMonitoring & ops

    Use this to detect when an LLM is making things up, so you can flag or block confident-but-wrong answers before users see them. Trigger on "detect hallucinations", "is the model making this up", "flag unreliable answers", "hallucination check", "confidence scoring for LLM output", or hardening a RAG

    Ready to connect

    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • estimate-llm-costSkillMonitoring & ops

    Use this to estimate what an LLM call or feature will cost, and to compare models on price, before or after shipping. Trigger on "how much will this cost", "estimate my OpenAI/Anthropic bill", "is a cheaper model worth it", "cost of this prompt", "project my LLM spend". Ships a runnable, tested calc

    Ready to connect

    github.com/contextjet-ai/awesome-llm-observability34 stars

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  • eval-driven-developmentSkillMonitoring & ops

    Use this to build or change an LLM feature the reliable way, by writing evals first and iterating against them, instead of tweaking prompts by vibes. Trigger on "how do I improve this prompt", "my changes keep breaking other things", "how do I know if this is better", "iterate on my agent", or any p

    Ready to connect

    github.com/contextjet-ai/awesome-llm-observability34 stars

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What is a skill?

A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.

53,583 of the 54,015 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.

Install one and every AI you use gets it

Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.

Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.

See how to connect your AI