提示词
提示词工程与模板
doc-coauthoring
getsentry
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
agents-md
getsentry
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
sred-project-organizer
getsentry
Take a list of projects and their related documentation, and organize them into the SRED format for submission.
sred-project-organizer
getsentry
Take a list of projects and their related documentation, and organize them into the SRED format for submission.
improve-retention
wondelai
'Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users drop off", "activation rate", "onboarding friction", "retention metrics", or "why users don''t complete". Covers the Ability Chain, prompt design, and tiny behaviors that compound. For habit loops and variable rewards, see hooked-ux. For intrinsic motivation, see drive-motivation.'
agent-base-template-generator
ruvnet
Agent skill for base-template-generator - invoke with $agent-base-template-generator
agent-code-goal-planner
ruvnet
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner
Skill Builder
ruvnet
"Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification."
agent-base-template-generator
ruvnet
Agent skill for base-template-generator - invoke with $agent-base-template-generator
agent-coordination
ruvnet
Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.
agent-code-goal-planner
ruvnet
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner
agent-payments
ruvnet
Agent skill for payments - invoke with $agent-payments
ring:interviewing-user
LerianStudio
Proactive requirements gathering - systematically interviews the user to uncover ambiguities, preferences, and constraints BEFORE implementation begins.
llm-application-dev
skillcreatorai
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
continuous-learning
affaan-m
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
security-scan
affaan-m
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.
eval-harness
affaan-m
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
agent-eval
affaan-m
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
council
affaan-m
Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.
regex-vs-llm-structured-text
affaan-m
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
skill-stocktake
affaan-m
"Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation."
continuous-learning
affaan-m
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
continuous-learning-v2
affaan-m
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
strategic-compact
affaan-m
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.