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mcp/skillhub

Agent Skill

Agent Skill Stack skill

agent-skill-stackgithub/awesome-copilotskills/agent-skill-stack/SKILL.md

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, safety, and overlap. Do not use for locating one known or common Skill; use the generic find-skills workflow.

40kMIT

always on

128 tokname + description

once used

1,969 tokSKILL.md body

bundled files

105 scripts

repo stars

40kGitHub

Install the Agent Skill Stack skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/github/awesome-copilot --skill agent-skill-stack

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p ~/.claude/skills
cp -R /tmp/awesome-copilot/skills/agent-skill-stack ~/.claude/skills/agent-skill-stack

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description128 tok
When the agent uses itThe SKILL.md instructions1,969 tok
Only if opened10 bundled files (56 KB)varies

Until it is used, agent-skill-stack costs about 11× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from github/awesome-copilot would load 9,863 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Build an Agent Skill Stack
  • 1. Choose the user-facing depth
  • 2. Derive the workflow dynamically
  • 3. Search the local index first
  • 4. Map capabilities, including indirect helpers
  • 5. Search with four lenses
  • 6. Verify and rank candidates
  • 7. Analyze conflicts and scope
  • 8. Present recommendations in plain language
  • 9. Install only after consent
  • 10. Run a recall check

More skills from github/awesome-copilot

All skills in this repo
  1. acquire-codebase-knowledgegithub/awesome-copilot

    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.

    40k182 tok idle · 1,945 in use
  2. acreadiness-assessgithub/awesome-copilot

    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.

    40k82 tok idle · 678 in use
  3. acreadiness-generate-instructionsgithub/awesome-copilot

    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.

    40k77 tok idle · 1,995 in use
  4. acreadiness-policygithub/awesome-copilot

    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.

    40k73 tok idle · 879 in use
  5. ad-campaign-analyzergithub/awesome-copilot

    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.

    40k80 tok idle · 3,472 in use
  6. add-educational-commentsgithub/awesome-copilot

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

    40k27 tok idle · 1,301 in use
  7. adobe-illustrator-scriptinggithub/awesome-copilot

    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.

    40k80 tok idle · 8,741 in use
  8. agent-architecturegithub/awesome-copilot

    Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.

    40k32 tok idle · 1,816 in use