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Agent Skills

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vespera

Build APIs with Vespera - FastAPI-like DX for Rust/Axum. Covers route handlers, Schema derivation, and OpenAPI generation.

dev-five-git
dev-five-git
252

cli-for-agents

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reinamaccredy
reinamaccredy
254

maestro:design

Deep discovery and specification for ambitious features. Full BMAD-inspired interview with classification, vision, journeys, domain analysis, and FR synthesis. Same output contract (spec.md + plan.md) as new-track but far richer. Use for multi-component systems, regulated domains, or unclear requirements.

reinamaccredy
reinamaccredy
254

maestro:agents-md

Use when bootstrapping, updating, or reviewing AGENTS.md — teaches what makes effective agent memory, how to structure sections, signal vs noise filtering, and when to prune stale entries

reinamaccredy
reinamaccredy
254

prompt-leverage

Strengthen a raw user prompt into an execution-ready instruction set for Amp, Claude Code, Codex, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.

reinamaccredy
reinamaccredy
254

mcp-for-agents

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reinamaccredy
reinamaccredy
254

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

reinamaccredy
reinamaccredy
254

maestro:research

Structured research workflow for maestro features. Guides tool selection across three tiers (codebase exploration, Context7 for library docs, NotebookLM for deep analysis), defines research patterns, finding organization via memory_write, and completion criteria. Use during the research pipeline stage after feature_create and before plan_write. Also use when investigating a problem space, comparing technical approaches, gathering context on unfamiliar code, or needing to understand external library APIs before making architectural decisions.

reinamaccredy
reinamaccredy
254

maestro:plan-review-loop

Deep-review any plan (maestro, Codex, Claude Code plan mode, or plain markdown) using iterative subagent review loops with BMAD-inspired adversarial edge-case discovery. Spawns reviewer subagents that find issues using pre-mortem, inversion, and red-team techniques, auto-fixes them with structured fix strategies, and re-reviews until the plan passes with zero actionable issues. Use when the user says 'review the plan', 'deep review', 'check the plan thoroughly', 'review loop', 'validate before approving', or wants rigorous plan validation before execution. Also use proactively before plan-approve when the plan is complex or high-risk.

reinamaccredy
reinamaccredy
254

maestro-dev

Development workflow for maestroCLI itself. Encodes the hexagonal architecture pattern (port -> adapter -> use-case -> command -> MCP tool -> test) and project-specific conventions. Use when implementing new maestro features, adding CLI commands, extending the MCP server, creating new adapters, modifying ports, writing use-cases, or debugging maestro's own code. Also use when you need to understand how maestro's layers connect or where to put new code.

reinamaccredy
reinamaccredy
254

maestro-pipeline-test

Run a full end-to-end smoke test of all maestro CLI commands in a single session. Use this skill when testing the maestro pipeline, verifying tool installation, validating a maestro setup, or checking that all tool groups work (feature, plan, task, memory, meta, graph, handoff, search). Trigger on "test maestro", "smoke test", "pipeline test", "verify all tools", "run pipeline test", or whenever the user wants to confirm maestro is functioning correctly -- even if they just say "does it work?" in a maestro context.

reinamaccredy
reinamaccredy
254

maestro-skill-author

Create, update, or debug maestro built-in skills. Covers SKILL.md frontmatter, reference directory structure, step-file architecture, build-time embedding, naming conventions, alias management, and registry validation. Use when creating a new maestro built-in skill, modifying an existing SKILL.md, adding reference files, debugging skill loading failures, updating the skills registry, or working on the skills full port. Also use when frontmatter validation fails, skills don't appear in skill-list, or reference files fail to load.

reinamaccredy
reinamaccredy
254

maestro-v2-migration

Guide for working with maestroCLI's v2 architecture. Covers the context-to-memory rename, 4-state task model, plain file backend, pre-agent hooks, research phase, and memory promotion. Use when touching v2 code, encountering legacy patterns (e.g. 'context' instead of 'memory', old task states), adding new v2 features, or debugging v2 behavior. Also use when you see imports from adapters/fs/context, references to 'contextAdapter', or task states that don't match the 4-state model.

reinamaccredy
reinamaccredy
254

maestro:brainstorming

Use before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

reinamaccredy
reinamaccredy
254

maestro:debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

reinamaccredy
reinamaccredy
254

maestro:dispatching

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

reinamaccredy
reinamaccredy
254

maestro:visual

Create interactive HTML visualizations of maestro state and debug data

reinamaccredy
reinamaccredy
254

maestro:simplify

Review changed code for reuse, quality, and efficiency, then fix issues found. Use after implementing a task or feature -- catches duplication, hacky patterns, and wasted work before review.

reinamaccredy
reinamaccredy
254

maestro:parallel-exploration

Use when you need parallel, read-only exploration with task() (Scout fan-out)

reinamaccredy
reinamaccredy
254

maestro:next-move

Strategic analysis of a project to identify the single highest-leverage, most innovative addition. Use when the user asks what to build next, what the most impactful improvement would be, what's missing, or any question about strategic direction and priorities. Also use when stuck choosing between competing features.

reinamaccredy
reinamaccredy
254

linear

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reinamaccredy
reinamaccredy
254

maestro:tdd

Use when implementing any feature or bugfix, before writing implementation code

reinamaccredy
reinamaccredy
254

maestro:prompt-leverage

Strengthen a raw user prompt into an execution-ready instruction set for Claude Code, Amp, Codex, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.

reinamaccredy
reinamaccredy
254

maestro:verification

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

reinamaccredy
reinamaccredy
254

maestro:revert

Git-aware revert of track, phase, or individual task. Safely undoes implementation with plan state rollback.

reinamaccredy
reinamaccredy
254

maestro:review

Code review for a track against its spec and plan. Verifies implementation matches requirements, checks code quality and security.

reinamaccredy
reinamaccredy
254

maestro:setup

Scaffolds project context (product, tech stack, coding guidelines, product guidelines, workflow) and initializes track registry. Use for first-time project onboarding.

reinamaccredy
reinamaccredy
254

maestro:status

Interpret feature progress, detect problems, and recommend next actions based on maestro status output.

reinamaccredy
reinamaccredy
254

maestro:new-feature

Create a new feature/bug track with spec and implementation plan. Interactive interview generates requirements spec, then phased TDD plan. Use when starting work on a new feature, bug fix, or chore.

reinamaccredy
reinamaccredy
254

maestro:symphony-setup

Set up Symphony orchestration for any repository. Installs Codex skills, generates a customized WORKFLOW.md, configures Linear integration, and verifies the setup. Works with any tech stack.

reinamaccredy
reinamaccredy
254

maestro:docker

Use when working with Docker containers — debugging container failures, writing Dockerfiles, docker-compose for integration tests, image optimization, or deploying containerized applications

reinamaccredy
reinamaccredy
254

maestro:implement

Execute track tasks following TDD workflow. Single-agent by default, --team for parallel Agent Teams, Sub Agent Parallels. Use when ready to implement a planned track.

reinamaccredy
reinamaccredy
254

maestro:new-track

Create a new feature/bug track with spec and implementation plan. Interactive interview generates requirements spec, then phased TDD plan. Use when starting work on a new feature, bug fix, or chore.

reinamaccredy
reinamaccredy
254

maestro:note

Capture decisions, constraints, and context to persistent notepad. Priority notes are injected into every session and implementation run.

reinamaccredy
reinamaccredy
254

fabric-patterns

Run danielmiessler/fabric CLI patterns for content analysis, extraction, summarization, writing, security analysis, and more. Use when user asks to "use fabric," "run a pattern," "extract wisdom," "summarize with fabric," or when piping content through AI patterns would be more effective than inline processing. Triggers include "fabric," "pattern," "extract wisdom," "summarize this article," "analyze this threat report," or any reference to a specific fabric pattern name.

leegonzales
leegonzales
255

context-continuity

High-fidelity context transfer protocol for moving conversations between AI agents. Preserves decision tempo, open loops, and critical context with graceful degradation. Use when the user says "transfer," "handoff," "continue this in another chat," or needs to work around context window limits. Produces structured artifacts (Minimal ~200 words, Full ~1000 words). DO NOT trigger on simple "summarize our conversation" requests—only when transfer intent is explicit.

leegonzales
leegonzales
255

concept-forge

Transform nebulous ideas into sharp, testable frameworks through multi-perspective dialectical interrogation. Use when developing vague intuitions, pressure-testing concepts, structuring half-formed frameworks, or distinguishing new ideas from existing concepts. Triggers include "explore this idea," "think through X," or "challenge my thinking."

leegonzales
leegonzales
255

codex-peer-review

[CLAUDE CODE ONLY] Leverage Codex CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, and alternative approach generation. Requires terminal access to execute Codex CLI commands. Use when making high-stakes decisions, reviewing complex architecture, or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.

leegonzales
leegonzales
255

codebase-navigator

Semantic code search using osgrep for understanding codebases, finding implementations, and navigating large projects. Use when asked "where is", "how does", "find the code that", or any question about code location or implementation.

leegonzales
leegonzales
255

claude-speak

Speak text aloud using high-quality AI voice synthesis (Kokoro TTS on Apple Silicon). Use when user asks to vocalize, narrate, or speak text out loud. Supports concurrent audio generation for multiple callers.

leegonzales
leegonzales
255

claude-project-docs

Generate concise CLAUDE.md files and agent documentation following best practices. Use when setting up a new project for Claude Code, auditing existing CLAUDE.md, or creating progressive disclosure documentation structure.

leegonzales
leegonzales
255

claimify

Extract and structure claims from discourse into analyzable argument maps with logical relationships and assumptions. Use when analyzing arguments, red-teaming reasoning, synthesizing debates, or transforming conversations into structured claim networks. Triggers include "what are the claims," "analyze this argument," "map the logic," or "find contradictions."

leegonzales
leegonzales
255

csv-data-summarizer

Analyzes CSV files and generates comprehensive summary statistics and visualizations using Python and pandas - automatically and immediately without asking what the user wants.

leegonzales
leegonzales
255

context-continuity-code

Claude Code-optimized context transfer for development workflows. Preserves code context, git state, running services, and development environment when moving work between sessions. Works seamlessly with peer review skills (Codex/Gemini). Use when transferring development work to a new Claude Code session.

leegonzales
leegonzales
255

ffmpeg

Complete FFmpeg toolkit for video/audio manipulation, analysis, and production. Covers probing, trim, concat, convert, scale, effects, audio ops, quality metrics, platform encoding, HLS, GIF, hardware acceleration, video analysis with sub-agents, and batch workflows.

leegonzales
leegonzales
255

excel-auditor

Analyze unknown or inherited Excel files to understand what they do, document their purpose, audit formulas for errors, and assess maintainability risk. Use when: (1) User uploads an Excel file asking 'what does this do?', (2) User needs to understand an inherited/legacy spreadsheet, (3) User wants formula auditing or error detection, (4) User asks about spreadsheet risk, complexity, or documentation, (5) User mentions 'inherited', 'legacy', 'undocumented', or 'someone left' regarding Excel files.

leegonzales
leegonzales
255

essay-to-speech

Transform written essays into spoken word presentations while preserving source material. Also renders training module facilitator artifacts as standalone HTML document viewers. Use when adapting essays for verbal delivery, creating talk tracks, preparing content for presentation slides, or rendering module documents.

leegonzales
leegonzales
255

dad-joke-validator

Analyze and score jokes on the dad joke quality spectrum with multi-dimensional feedback on pun quality, groan factor, wholesomeness, and structure. Can also generate dad jokes.

leegonzales
leegonzales
255

project-builder

Create Claude Projects with custom instructions and manifests. Use when asked to "set up a Claude project," "create project instructions," or "help me build a Claude workflow."

leegonzales
leegonzales
255

profile-builder

Build your Claude global personalization profile through guided Q&A. Use when someone wants to create or improve their Settings > Profile > Personal Preferences text, customize how Claude responds to them across all conversations, or define their professional identity and communication style for Claude.

leegonzales
leegonzales
255

Page 913 of 1699 · 84938 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.