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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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autonomous-coding-engagement

Autonomously engage with complex coding tasks — multi-step planning, tool use, self-correction, and solution verification without human intervention.

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

babysit

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a5c-ai
a5c-ai
1,52087

babysit-babysitter-issues

This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.

a5c-ai
a5c-ai
1,52087

backend-async-processing

Implement backend async and background processing patterns — event-driven architectures, message queues, async task runners, and worker pools.

a5c-ai
a5c-ai
1,52087

background-job-processing

Implement reliable background job processing systems — queue management, retry policies, dead-letter handling, and distributed workers.

a5c-ai
a5c-ai
1,52087

behavior-contract

Bug condition/postcondition formalization as testable Behavior Contracts. Defines invariants that must be preserved across fixes.

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

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

chain-of-thought-prompts

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

a5c-ai
a5c-ai
1,52087

checkpoint-management

Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.

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

closed-book-frontier-reasoning

Perform closed-book frontier reasoning — complex problem solving from internalized knowledge without external retrieval or tool use.

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

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

codebase-sync

Convention discovery and rule generation from codebase analysis. Scans project structure, builds search indexes, identifies patterns, and generates enforceable rules.

babysitter-sdk
babysitter-sdk
1,52087

codeforces-api-client

Interface with Codeforces API for contest data, problem sets, and submissions

a5c-ai
a5c-ai
1,52087

code-generation

Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.

a5c-ai
a5c-ai
1,52087

code-profiler

Profile code performance and identify bottlenecks

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

code-review-gate

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

a5c-ai
a5c-ai
1,52087

code-review-orchestration

6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.

a5c-ai
a5c-ai
1,52087

code-review-patterns

Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.

a5c-ai
a5c-ai
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

code-template-manager

Manage and generate competitive programming templates

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

cog-daily-intelligence

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

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-meeting-processing

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

a5c-ai
a5c-ai
1,52087

cog-onboarding

Personalize COG Second Brain workflow through role pack selection and vault initialization

a5c-ai
a5c-ai
1,52087

cog-team-intelligence

Cross-reference GitHub, Linear, Slack, and PostHog with bidirectional sync for team briefs

a5c-ai
a5c-ai
1,52087

cog-url-extraction

Save URLs with auto-extracted insights, credibility scoring, and vault routing

a5c-ai
a5c-ai
1,52087

cog-weekly-reflection

Cross-domain pattern analysis with personal, professional, and project domain synthesis

a5c-ai
a5c-ai
1,52087

combinatorics-calculator

Calculate combinatorial values with modular arithmetic

a5c-ai
a5c-ai
1,52087

complexity-analyzer

Automated Big-O complexity analysis of code and algorithms. Performs static analysis of loop structures, recursive call trees, space complexity estimation, and amortized analysis with detailed derivation documents.

babysitter-sdk
babysitter-sdk
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

constitutional-ai-prompts

Constitutional AI and safety guardrail prompts for aligned LLM behavior

a5c-ai
a5c-ai
1,52087

constitution-creation

Establish project governing principles including dev guidelines, code quality standards, testing policies, UX requirements, performance benchmarks, and security constraints.

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

context-engineering

Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.

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

continuous-learning

Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.

a5c-ai
a5c-ai
1,52087

convoy-management

Create, track, and land convoys of related beads as primary work orders in the Gas Town multi-agent orchestration framework.

a5c-ai
a5c-ai
1,52087

crewai-setup

CrewAI multi-agent orchestration setup for collaborative AI systems

a5c-ai
a5c-ai
1,52087

cross-artifact-analysis

Perform cross-artifact consistency and coverage analysis across constitution, specification, plan, and task artifacts to detect gaps, conflicts, and misalignments before implementation.

a5c-ai
a5c-ai
1,52087

cses-tracker

Track progress through CSES Problem Set with structured learning

a5c-ai
a5c-ai
1,52087

data-structure-selector

Select optimal data structure based on operation requirements

a5c-ai
a5c-ai
1,52087

debugging-patterns

Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.

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

design-review-gate

Parallel design review by 6 specialist agents (PM, Architect, Designer, Security Design, UX, CTO) with mandatory unanimous approval.

a5c-ai
a5c-ai
1,52087

Page 193 of 1678 · 83861 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.