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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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founder-stage-idea

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response-compression

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convergence-engine

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converge

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content-recast

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claude-code-concierge

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chief-of-staff

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bot-finding-arbiter

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bitbucket-pipeline-watch

Use when an agent needs to WAIT for a Bitbucket Cloud pipeline/build to finish and act on the outcome — instead of fixed-interval polling. Backgrounds a poll-until-done loop that exits the instant the build COMPLETES, so the harness re-invokes the agent on the real event; on FAILURE it returns the redacted failure diagnosis (failed steps + error-relevant log tail) already baked in. Pairs with the maos-mcp-hub atlassian_bitbucket gateway.

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auto-pilot

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atomize-and-route

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anima

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agentic-tool-trainer

Use when you want to improve, tune, coach, or evolve an existing agentic-tool (skill/agent/subagent/command/prompt/MCP-tool) based on its eval results — OR distill a brand-new tool from an observed human↔agent task ("turn what we just did into a skill", "make a skill from this session", "this skill underperforms, improve it", "track my corrections and patch the tool", "compare version performance over time"). Consumes eval reports; hands finalized authoring back to skill-writer/forge.

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agentic-tool-pipeline

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agentic-tool-intake

Use when you have a CANDIDATE tool that already exists (an external repo/MCP/plugin/skill someone found, e.g. from a GitHub trend or a YouTube review — OR an internal proposal) and need to decide whether and HOW to take it on. Triggers — "should I adopt this tool?", "is X worth installing?", "vet/appraise this repo/MCP for us", "should we install or build our own?", "does this conflict with what we already have?", "intake this candidate", "avalie se vale adotar X", "instalar ou criar?". It runs the adoption-decision pipeline (understand → research similars → compare/cross → validate viability → DECIDE among install/create-internally/absorb/adapt/sub-agent/abandon/defer-HITL) and, only when the verdict is INSTALL and the operator says GO, delegates a governed install. It does NOT create a tool from a bare intent (→ agentic-tool-forge), score an already-owned tool (→ agentic-tool-evaluator), or improve one (→ agentic-tool-trainer). A thin composer — it reimplements none of those; it decides.

ekson73
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agentic-tool-forge

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ekson73
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agentic-tool-evaluator

Use when you need to evaluate, test, score, benchmark, or QA an agentic-tool (a skill/SKILL.md, agent, subagent, slash-command, prompt, or MCP-tool) — e.g. "is this skill any good?", "does this skill actually trigger?", "test this agent", "did my edit regress the skill?", "compare these two skill versions", "score this command". Produces a behavioral eval report; does NOT author or modify the tool.

ekson73
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agentic-session-harness

Generic, vendor-neutral session-observability engine (ASH — Agentic Session Harness). Per-session journals capturing goal · tasks · decisions[] · sources · transcript_hash, plus a decision-audit (why the agent decided X, spec_alignment drift). Ships CLIs (agentic-walkthrough timeline · agentic-decisions audit report · agentic-decide capture · agentic-reindex backfill) + SessionStart/Stop hooks. Use when you need an auditable record of what an agent did and WHY across sessions. Promoted from a host product 2026-06-02 (Layer-1 community engine).

ekson73
ekson73
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agentic-delegation

Use when about to spawn a subagent/skill/task (Task tool, Agent tool, /command). Defines 6 decision criteria (decomposable/specialist-exists/audit-capacity/score≥MEDIUM/not-HUMAN-DOMAIN/time-budget), 11 mandatory briefing components (context/scope/motivation/purpose/objective/DoR/DoD/deliverables/feedback-loops/constraints/channel-fallback-chain), accountability preservation (parent NEVER delegates accountability — only execution; "delegating does not waive the responsibility received"), recursion ≤2, parallel ≤3. Harmonizes the agentic-inheritance principle (tree-returns-to-root · subordinate-is-parent's-full-responsibility · audit-output · zero-drift). Cross-vendor AAIF.

ekson73
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slm-routing

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signoff

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session-reentry

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session-fission

On-demand splitter for a tangled Claude session. Non-destructively inventories the current session's N-Tree of atomic contexts (project / ticket / task / worktree / branch), snapshots the transcript, distills each atomic context into a clean self-contained seed, and reseeds fresh focused sessions — relieving context bloat, cognitive overhead, and token exhaustion. NEVER mutates or deletes the source session. Trigger when the user says "split this session", "session fission", "this session is tangled", "encavalei assuntos", "untangle my session", "too much context in one session", "spin this off into its own session".

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rule-quality-tests

Use when creating new rules, modifying existing rules at MAJOR/MINOR version bump, OR when operator says "audit this rule" / "check rule quality" / "verify self-consistency". Applies 6 Self-Validity Tests (Self-Application, Non-Contradiction, Survival, Bounded-Responsibility, Explicit-Exception, Utility-Sunset) + Anti-Eternal Discipline (governance hygiene against eternal/infinite responsibilities). Dogfooded — passes own tests. Cross-vendor AAIF.

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reveng

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research-dossier

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repo-custody-transfer

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refine-braindump-to-prompt

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red-team

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reactivate

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quiesce

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pulse

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proofread

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preflight

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praxis-audit

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postflight

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pii-masking

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operator-quote-capture

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opera-debrief

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opendesign-concierge

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9router-concierge

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system-health-responder

End-of-action reflex that reads the system-health contract, engage-locks, Eisenhower-ranks the warnings, does MODERATE non-destructive auto-heal (autonomous reversible renice of a clear cpu runaway + `uv cache prune` producer-hygiene), responds to the new `agentic_tools` branch (`claude doctor` runtime health + cache-producer pressure), reads the reclaim-aware `burn_down` disk forecast (observe-only leading indicator → seed+notify before crisis), and escalate-seeds the HITL residue (security · malware · kill · disk→disk-guardian · no-source-fix offender containment). EKO-90 part-2 — the responder half of the health suite.

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council-gate

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corpus-firing-audit

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transcript-corrector

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voice-director

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walkthrough-concierge

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work-compass

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work-drain

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transmute

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.