Prompts

ds-tools

by edwinhu

"This skill should be used when the user asks 'what data science tools are available', 'list data analysis plugins', 'what skills work with data', 'enable data science code intelligence', or needs to discover data-specific plugins and skills like wrds, lseg-data, gemini-batch, or data context skills. Use this for data science tool discovery; use dev-tools for general development tool discovery."

parakeet

by tdimino

Local speech-to-text via Handy app (push-to-talk) and NeMo CLI scripts. Parakeet V3: 25 languages, auto-detection, ~30x realtime on M4 Max, 6% WER. This skill should be used when transcribing audio files or dictating voice input.

open-interpreter

by tdimino

Desktop GUI automation via OpenInterpreter — mouse, keyboard, screenshot,

agents-md-manager

by tdimino

This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).

minoan-swarm

by tdimino

Orchestrate Claude Code Agent Teams with Minoan-Semitic naming. This skill should be used when planning or launching multi-agent teams to tackle project phases, features, or complex tasks in parallel. It auto-discovers project context (CLAUDE.md, roadmaps, plans, issues) and generates named team configurations with structured task lists and file ownership.

claude-md-manager

by tdimino

Create, audit, and maintain CLAUDE.md documentation files that configure Claude Code for projects. Use this skill when (1) initializing a new project with Claude Code configuration, (2) reviewing or improving existing CLAUDE.md files, (3) organizing project instructions using progressive disclosure patterns, (4) converting repeated instructions into permanent documentation, or (5) setting up agent_docs/ structures for larger codebases. Handles the WHAT/WHY/HOW framework, conciseness optimization, and file import patterns.

my-skill-name

by sendaifun

A clear description of what this skill does and when to use it

brain-in-the-fish

by fabio-rovai

Universal document evaluation engine — evaluate any document against any criteria using cognitively-modelled AI agents with ontology-grounded scoring

cls-certify

by CatREFuse

CocoLoop Safe (CLS) Skill 安全认证。对 Agent Skills 进行六维深度安全分析（静态代码、动态行为、依赖审计、网络流量、隐私合规、威胁情报），输出 S+/S/A/B/C/D 等级评估和 HTML/PDF 可视化报告。使用当用户需要检查 skill 安全性、验证 skill 是否可信、分析 skill 代码安全性、评估 skill 风险等级时。

improve-prompt

by melodic-software

Improve and optimize prompts using Anthropic's 4-step prompt improvement workflow

audit-hooks

by melodic-software

Audit Claude Code hooks for quality, compliance, and maintainability. Use after creating hooks, before releases, or for periodic quality checks.

Ai Wrapper Product

by omer-metin

Ai Product

by omer-metin

agent-native-architecture

by petekp

Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.

multi-model-meta-analysis

by petekp

Synthesize outputs from multiple AI models into a comprehensive, verified assessment. Use when: (1) User pastes feedback/analysis from multiple LLMs (Claude, GPT, Gemini, etc.) about code or a project, (2) User wants to consolidate model outputs into a single reliable document, (3) User needs conflicting model claims resolved against actual source code. This skill verifies model claims against the codebase, resolves contradictions with evidence, and produces a more reliable assessment than any single model.

claude-md-author

by petekp

This skill should be used when the user asks to "create a CLAUDE.md", "write a CLAUDE.md", "set up CLAUDE.md", "configure Claude for this project", "add project instructions for Claude", "initialize Claude context", or mentions needing project-specific Claude instructions.

bootstrap

by petekp

This skill should be used when the user asks to "create a bootstrap prompt", "handoff", "save session state", "continue in new session", "create handoff", "session summary for continuation", "bootstrap for fresh session", or wants to capture the current session state for resumption in a new Claude Code session.

hud-manual-testing

by petekp

Manual testing workflow for Claude HUD to verify core functionality. Use when asked to "test the app", "verify the app works", "run manual tests", "test after changes", or after implementing significant features. Performs full reset, launches app, and guides through verification checklist.

agent

by treasure-data

Build LLM agents using tdx agent pull/push with YAML/Markdown config. Covers agent.yml structure, tools (knowledge_base, agent, web_search, image_gen), @ref syntax, and knowledge bases. Use for TD AI agent development workflow.

template-skill

by treasure-data

Replace with a clear description of what this skill does and when Claude should use it. Be specific about the use cases, tools, or workflows this skill addresses.

field-agent-documentation

by treasure-data

Comprehensive template and guidelines for documenting Field Agents including technical specifications, system prompts, tool specifications, user interactions, and standardized documentation structure

aiconfig-variations

by launchdarkly

Guide for experimenting with AI configurations. Helps you test different models, prompts, and parameters to find what works best through systematic experimentation.

prompt-engineering

by rfxlamia

Use when you need to design effective LLM prompts. Intelligently selects optimal prompting methods (Chain of Thought, Few-Shot, Zero-Shot, ReAct, Tree of Thoughts, Self-Consistency) and output formats (XML, JSON, YAML, Natural Language) based on task complexity, target LLM, accuracy requirements, and available context. Trigger on prompt design, prompt optimization, or when choosing between prompting techniques.

red-teaming

by rfxlamia

Comprehensive red teaming methodology for both cybersecurity and AI/LLM systems. Use when conducting adversary emulation, vulnerability assessment, attack simulation, or security validation. Trigger on requests for penetration testing, threat modeling, security audits, MITRE ATT&CK operations, LLM safety testing, prompt injection attacks, or compliance validation (OWASP, NIST, TIBER, DORA, EU AI Act). Apply when users ask to "test like an attacker", "red team our system", "validate security posture", "assess LLM vulnerabilities", or "simulate cyber attacks". Includes planning frameworks, execution strategies, reporting templates, and progressive references to specialized attack techniques and tools.