86403 Skills Available

Find awesome
Agent Skills

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

Popular searches

anti-drift

Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.

a5c-ai
a5c-ai
1,52087

consensus-mechanisms

Multi-protocol consensus for agent swarms supporting Raft leader election, Byzantine fault tolerance, Gossip state propagation, and CRDT conflict-free merging.

a5c-ai
a5c-ai
1,52087

cog-meeting-processing

Process meeting recordings and transcripts into decisions, action items, and team dynamics

a5c-ai
a5c-ai
1,52087

cog-knowledge-consolidation

Build structured knowledge frameworks from scattered vault notes with source attribution

a5c-ai
a5c-ai
1,52087

cog-daily-intelligence

Generate personalized verified news briefs with 7-day freshness and 95%+ source accuracy

a5c-ai
a5c-ai
1,52087

cog-braindump-capture

Capture raw thoughts with automatic domain classification and vault routing

a5c-ai
a5c-ai
1,52087

autonomous-research-engineering

Autonomous research engineering — web search orchestration, source synthesis, hypothesis formation, and structured research report generation.

a5c-ai
a5c-ai
1,52087

spec-execution

6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.

a5c-ai
a5c-ai
1,52087

spec-creation

Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.

a5c-ai
a5c-ai
1,52087

security-hardening

AIDefence security layer with prompt injection blocking, input validation, sandboxed execution, output sanitization, and STRIDE threat modeling.

a5c-ai
a5c-ai
1,52087

self-optimization

SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.

a5c-ai
a5c-ai
1,52087

research-orchestration

Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.

a5c-ai
a5c-ai
1,52087

hook-management

Session-scoped hook lifecycle management with enable/disable/status controls, execution profiling, and color-coded performance alerts.

a5c-ai
a5c-ai
1,52087

file-guard

PreToolUse protection blocking sensitive file access across 195+ patterns in 12 categories with bash pipeline analysis and multi-tool ignore support.

a5c-ai
a5c-ai
1,52087

vector-memory

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

a5c-ai
a5c-ai
1,52087

spec-driven-development

Specification creation and management for the Pilot Shell methodology. Covers semantic search, clarifying questions, structured spec generation, and iterative refinement.

babysitter-sdk
babysitter-sdk
1,52087

strict-tdd

Strict RED->GREEN->REFACTOR test-driven development with enforcement. Never write production code before a failing test. Atomic commits per TDD cycle.

babysitter-sdk
babysitter-sdk
1,52087

worktree-isolation

Git worktree management for safe, isolated feature development. Creates, manages, and cleans up worktrees with branch naming and dependency setup.

babysitter-sdk
babysitter-sdk
1,52087

brainstorming

Clarify vague requirements through exploratory questioning and option generation before committing to research or implementation.

a5c-ai
a5c-ai
1,52087

code-review

Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.

a5c-ai
a5c-ai
1,52087

codebase-research

Systematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.

a5c-ai
a5c-ai
1,52087

decision-documentation

Create Architecture Decision Records (ADRs) documenting significant technical choices with context, options, consequences, and sequential numbering.

a5c-ai
a5c-ai
1,52087

session-management

Manage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.

a5c-ai
a5c-ai
1,52087

merge-queue

Process the Refinery merge queue - collect agent work, detect and resolve conflicts, merge in dependency order, and verify integration.

a5c-ai
a5c-ai
1,52087

using-git-worktrees

Use when starting feature work that needs isolation from current workspace or before executing implementation plans.

a5c-ai
a5c-ai
1,52087

codebase-mapping

Automatic codebase indexing for invisible context injection. Catalogs project structure, file types, entry points, dependencies, and test layout.

a5c-ai
a5c-ai
1,52087

subagent-driven-development

Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.

a5c-ai
a5c-ai
1,52087

catalog-babysitter-users

Discover public GitHub repositories that import defineTask from @a5c-ai/babysitter-sdk and maintain a deduplicated catalog of those repositories in docs/repo-with-babysitter-processes.md. Excludes any repo named "babysitter" (to filter out forks of this monorepo). Invoke when asked to find, discover, catalog, or refresh "repos using babysitter", "babysitter in the wild", or "who else is using babysitter".

a5c-ai
a5c-ai
1,52087

guardrails-ai-setup

Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.

a5c-ai
a5c-ai
1,52087

adversarial-review

Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.

a5c-ai
a5c-ai
1,52087

quality-hooks

Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.

babysitter-sdk
babysitter-sdk
1,52087

chain-of-thought-prompts

Chain-of-thought and step-by-step reasoning prompts for complex problem solving

a5c-ai
a5c-ai
1,52087

content-moderation-api

Content moderation API integration using OpenAI Moderation, Perspective API, and others

a5c-ai
a5c-ai
1,52087

crewai-setup

CrewAI multi-agent orchestration setup for collaborative AI systems

a5c-ai
a5c-ai
1,52087

few-shot-example-gen

Few-shot example generation and optimization for improved LLM performance

a5c-ai
a5c-ai
1,52087

process-builder

Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.

a5c-ai
a5c-ai
1,52087

babysit

>-

a5c-ai
a5c-ai
1,52087

autogen-setup

Microsoft AutoGen multi-agent configuration for conversational AI systems

a5c-ai
a5c-ai
1,52087

constitutional-ai-prompts

Constitutional AI and safety guardrail prompts for aligned LLM behavior

a5c-ai
a5c-ai
1,52087

entity-memory-extraction

Entity and fact extraction for user profiling and personalization

a5c-ai
a5c-ai
1,52087

chroma-integration

Chroma local vector database setup and operations for development and production

a5c-ai
a5c-ai
1,52087

context-preservation

State capture and restore across context window compactions. Monitors usage thresholds and serializes quality, task, and spec state for seamless continuation.

babysitter-sdk
babysitter-sdk
1,52087

code-review-pipeline

Multi-dimensional code review across correctness, security, performance, and maintainability with confidence-gated reporting and remediation loops.

a5c-ai
a5c-ai
1,52087

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

babysitter-sdk
babysitter-sdk
1,52087

code-review-gate

Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement

a5c-ai
a5c-ai
1,52087

hotfix-triage

Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes

a5c-ai
a5c-ai
1,52087

knowledge-graph-management

Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph

a5c-ai
a5c-ai
1,52087

maintenance-orchestration

Technical debt management including branch cleanup, doc verification, TODO scanning, and dependency auditing

a5c-ai
a5c-ai
1,52087

requirements-interview

Interactive PM interview with expertise-adaptive questioning for requirements elicitation

a5c-ai
a5c-ai
1,52087

using-superpowers

Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.

a5c-ai
a5c-ai
1,52087

Page 317 of 1729 · 86403 results

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.