prompt-optimizer
Optimize Claude prompts for clarity and effectiveness. Use when creating, refining, or reviewing commands, agents, skills, or system prompts.
Découvrez les skills research llm ai, comparez leurs dépôts et consultez leurs instructions.
Optimize Claude prompts for clarity and effectiveness. Use when creating, refining, or reviewing commands, agents, skills, or system prompts.
Create and maintain well-structured Claude Code skills. Use when creating, updating, or improving skills in .claude/skills/.
AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase...
Provides the single source of truth for SpecsVibeCode brand guidelines, design tokens, technology choices, and voice/tone. Use this skill whenever generating UI components, styling applications, writing copy, o...
Building AI agents and assistants with Convex. Use when implementing chat interfaces, AI assistants, tool-calling agents, RAG (retrieval-augmented generation), conversation threads, or integrating LLMs like Ope...
Best practices for Convex actions, transactions, and scheduling. Use when writing actions that call external APIs, using ctx.runQuery/ctx.runMutation, scheduling functions with ctx.scheduler, or working with th...
Agent logs, reasoning, and token tracking. Use when logging interactions, saving reasoning, tracking tokens, or managing events.
Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).
次のタスクの内容(コーディング、リサーチ、リファクタリングなど)に応じて、最適なLLMモデルを提案する
会話履歴や作業内容から、再利用可能なエージェントスキルを生成または追記する
Generate a complete OAF-compliant agent package from an Agent Case (requirements) and Agent Design (architecture). Use when asked to "package an agent", "generate an agent package", "create an agent from a desi...
LLM 기반 심층 리서치 스킬. 주제에 대해 자동으로 검색 계획을 수립하고, 웹 스크래핑 후 종합 리포트를 생성. 사용 시점: (1) 특정 주제에 대한 포괄적인 분석이 필요할 때 (2) 다양한 소스에서 정보를 수집하여 종합해야...
AI agent long-term memory management skill (openmemory-py based). Store and retrieve conversation context, user preferences, and important information via semantic search. Note: Automatic context management is...
This skill should be used when the user asks about "AI development", "AI coding", "AI assistant", "CLAUDE.md", "AI context", "AI guidelines", "code generation", "AI workflow", "AI review", "AI configuration", o...
Create and structure Claude Code Skills with best practices. Use when building custom Skills, setting up Skill directories, writing SKILL.md files, or creating reusable Claude capabilities.
What this skill does and when to use it. Include trigger words users would naturally say. Max 1024 chars.
Craft coaching responses for BlackBelt members in Facebook group comments. Use when "help me reply to", "FB sweep", "coach [name] on", "I'm doing a Facebook sweep", or responding to BlackBelt member questions.
Evaluates Magic Model (Triangle) frameworks for BlackBelt coaches using Ed Dale's frameworks. Produces Facebook-ready feedback comments.
Self-improving skills system. Analyzes conversation for corrections and learnings, proposes skill updates. Use when saying "reflect on this session", "what did we learn", or after completing significant work. A...
Polish BlackBelt coaches' 5130 hand-raiser messages using kickoff context. Use when "polish 5130", "review hand-raiser", "5130 feedback", "process kickoff messages".
Creates a new skill in the Powerhouse Lab skills library with proper git workflow. Use when the user wants to create a new skill, add a skill, build a skill, or says "new skill called X".
Generate images via Gemini 3 Pro Image API. Use when "generate an image", "create a hero image", "make an image showing", "nano banana".
End-of-session orchestrator that closes the learning loop. Extracts learnings and encodes them back into CLAUDE.md, mission-context, and skills. Use when "lets wrap", "wrapping up", "end of session", "syncing".
Morning routine facilitator. Guides Ed through metrics, capture triage, and task clarity. Use at start of day with "win the day", "morning routine", "start my day", "let's get at it".
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.