Integration decision

GitHub Agent Skills

Agent Skills for repositories, issues, pull requests, Actions, and code workflows.

Auth
Token / session
Risk focus
Repository writes
Minimum test
Dry run

Matching candidates

644

Current snapshot

Quality ready

434

Computed signal ≥ 75

Evidence layers

4

Source to editorial

Refresh cadence

24h

Repository signals

Qualified matches

Skills for GitHub Agent Skills

The list prioritizes source diversity, freshness, and documentation depth. Card scores are computed signals—not test certifications.

EvidenceSourceComputedTestedEditorial
Computed 8237,126

github/awesome-copilot

acquire-codebase-knowledge

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

Computed 7437,126

github/awesome-copilot

acreadiness-assess

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

Computed 8037,126

github/awesome-copilot

acreadiness-generate-instructions

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

Computed 7137,126

github/awesome-copilot

acreadiness-policy

Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

Computed 8437,126

github/awesome-copilot

ad-campaign-analyzer

Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.

Computed 7937,126

github/awesome-copilot

add-educational-comments

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

Computed 9137,126

github/awesome-copilot

adobe-illustrator-scripting

Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.

Computed 4936

yun520-1/mark-heartflow-skill

agent-git-oracle

Advanced repository analysis and refactoring guide. Identifies technical debt and architectural anti-patterns using AI reasoning.

Computed 9337,126

github/awesome-copilot

agent-governance

Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrict

Computed 9137,126

github/awesome-copilot

agent-owasp-compliance

Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "chec

Computed 8437,126

github/awesome-copilot

agent-skill-stack

Find, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verified fit, sa

Computed 8637,126

github/awesome-copilot

agent-supply-chain

Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verif

Decision path

Move from discovery to installation in four checks

01

Confirm the job

Define the work before choosing the most popular Skill.

02

Compare evidence

Separate source claims, computed signals, tests, and editorial judgment.

03

Review permissions

Review network, script, file, and outbound-data actions.

04

Test narrowly

Pin the source and run a reversible test in isolation.