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Claude Skills by mouadja02
github.com/mouadja02725 skills0 installs10 views
- Structured Autonomy GenerateStructured Autonomy Implementation Generator PromptVotes: 0GitHub stars: 10
- Structured Autonomy ImplementUse when executing a previously agreed autonomous agent plan — running the steps within declared boundaries, checkpointing progress, and escalating when a stop condition is hit.Votes: 0GitHub stars: 10
- Structured Autonomy PlanUse when an autonomous agent run needs a plan before execution — decomposing the goal, setting explicit boundaries and stop conditions, and defining what the agent may decide alone versus escalate.Votes: 0GitHub stars: 10
- Tool DesignThis skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.Votes: 0GitHub stars: 10
- Trading Agent BuilderBuild AI-powered trading and financial analysis agents using multi-agent architectures with LLMsVotes: 0GitHub stars: 10
- Agent Trajectory DiagnosticsUse when diagnosing agent benchmarks or runtime failures from trajectories instead of aggregate pass rates. Builds shared action-observation decision landscapes, identifies productive cores and trap regions, profiles Access/Trap/Repair behavior, and designs conservative trap-triggered recovery experiments.Votes: 0GitHub stars: 10
- Auto Memory ProCurate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacityVotes: 0GitHub stars: 10
- ExtractTurn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examplesVotes: 0GitHub stars: 10
- PromoteGraduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.Votes: 0GitHub stars: 10
- RememberExplicitly save important knowledge to auto-memory with timestamp and contextVotes: 0GitHub stars: 10
- ReviewAnalyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.Votes: 0GitHub stars: 10
- StatusMemory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations.Votes: 0GitHub stars: 10
- Autoresearch AgentAutonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation c...Votes: 0GitHub stars: 10
- LoopStart an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for schedulingVotes: 0GitHub stars: 10
- ResumeResume a paused experiment. Checkout the experiment branch, read results history, continue iterating.Votes: 0GitHub stars: 10
- RunRun a single experiment iteration. Edit the target file, evaluate, keep or discard.Votes: 0GitHub stars: 10
- SetupSet up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluatorVotes: 0GitHub stars: 10
- StatusShow experiment dashboard with results, active loops, and progress.Votes: 0GitHub stars: 10
- AutoresearchAutonomous experiment loop — goals, metrics, iterations, eval command, structured outputVotes: 0GitHub stars: 10
- Eval Driven DevImprove AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.Votes: 0GitHub stars: 10
- Harness BenchmarkingUse when designing evaluation suites for agentic systems, choosing agent benchmarks, measuring multi-agent performance, or critiquing single-score evaluation of agents. Based on arXiv:2605.26112v1. Trigger phrases: "evaluate my agent", "benchmark agent", "measure agent reliability", "pass^k evaluation", "agent metrics beyond success rate", "trajectory quality", "memory hygiene metric", "longitudinal agent eval", "why my agent scores well on benchmarks but fails in production".Votes: 0GitHub stars: 10
- Local Ai StackSet up and optimize a complete local AI infrastructure — Ollama, Open WebUI, local RAG pipelines, and private model servingVotes: 0GitHub stars: 10
- Mcp Agent EvaluationUse when evaluating MCP-enabled agents, tool-using LLM systems, multi-server workflows, tool-selection quality, trajectory quality, task completion, or MCP security regressions.Votes: 0GitHub stars: 10
- Memory MergerMerges mature lessons from a domain memory file into its instruction fileVotes: 0GitHub stars: 10
- Nano Banana Pro OpenrouterGenerate or edit images via OpenRouter with the Gemini 3 Pro Image modelVotes: 0GitHub stars: 10
- Rag Evaluation MatrixUse when comparing basic, enhanced, GraphRAG, or agentic RAG designs, evaluating domain-specific RAG quality, tuning retrieval components, or deciding whether agentic RAG is worth its cost.Votes: 0GitHub stars: 10
- Semantic KernelCreate, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and PythonVotes: 0GitHub stars: 10
- Skill Lifecycle OptimizationUse when improving, evolving, benchmarking, or maintaining agent skills over time. Treats skills as long-lived structured artifacts: execute tasks, diagnose trajectory evidence, accumulate textual momentum, patch at the correct abstraction layer, test per model and harness, canary changes, and roll back regressions.Votes: 0GitHub stars: 10
- Aspnet Minimal Api OpenapiCreate ASP.NET Minimal API endpoints with proper OpenAPI documentationVotes: 0GitHub stars: 10
- Framework Fastapi ExpertUse when the user asks to work on a Python FastAPI project. Triggers on keywords Python, FastAPI, Pydantic, SQLAlchemy.Votes: 0GitHub stars: 10
- Gdpr CompliantGDPR-compliant engineering — API design, data modeling, consent, retention, audit trailsVotes: 0GitHub stars: 10
- Openapi To Application CodeGenerate a complete, production-ready application from an OpenAPI specificationVotes: 0GitHub stars: 10
- Python Fastapi LlmAlso use for async Python patterns, Pydantic schemas for LLM structured outputs, retry strategies for LLM calls, background AI jobs, or any service combining FastAPI and LLMs. If Python + AI backend is in scope — use this skillVotes: 0GitHub stars: 10
- Python Pypi Package BuilderBuild, test, lint, version, publish Python library to PyPI — all build tool flavorsVotes: 0GitHub stars: 10
- Rest Graphql DebugDebug REST/GraphQL APIs: status codes, auth, schemas, repro.Votes: 0GitHub stars: 10
- Stripe Integration ExpertImplement production-grade Stripe integrationsVotes: 0GitHub stars: 10
- Transloadit Media ProcessingProcess media files (video, audio, images, documents) using TransloaditVotes: 0GitHub stars: 10
- Typespec Api OperationsAdd GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cardsVotes: 0GitHub stars: 10
- Typespec Create AgentGenerate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 CopilotVotes: 0GitHub stars: 10
- Typespec Create Api PluginGenerate a TypeSpec API plugin with REST operations, authentication, and Adaptive Cards for Microsoft 365 CopilotVotes: 0GitHub stars: 10
- Agent ProtocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formatsVotes: 0GitHub stars: 10
- Board Deck BuilderAssembles comprehensive board and investor update decks by pulling perspectives from all C-suite rolesVotes: 0GitHub stars: 10
- Board MeetingBoard meeting — 6-phase structured deliberation, multi-agent C-suite protocolVotes: 0GitHub stars: 10
- Business SimulationA battle-tested methodology for running ANY business in real-time simulation as an autonomous operator agent. Pick a venture — a shop, restaurant, SaaS product, boutique, fund, agency, nonprofit, or creator business — and the agent operates it day by day: calendar discipline, real-world grounding, source-of-truth locking, delegated authority, an operational tracker, a named persona team, finance honesty, risk/cadence management, and self-correction. Triggers: "simulate a business", "run a bus...Votes: 0GitHub stars: 10
- C Level AdvisorUse when a founder or executive needs C-suite advice and it is not yet clear which role should answer — routes the question to the right advisor (CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO) and explains how the 28-skill executive ecosystem fits together. Start here, then load the individual role skill.Votes: 0GitHub stars: 10
- Ceo AdvisorExecutive leadership guidance for strategic decision-making, organizational development, and stakeholder managementVotes: 0GitHub stars: 10
- Cfo AdvisorFinancial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packagesVotes: 0GitHub stars: 10
- Change ManagementChange rollout — ADKAR for startups, communication templates, resistance handlingVotes: 0GitHub stars: 10
- Chief Of StaffC-suite orchestrator — routes to advisor roles, triggers board meetings, cross-functionalVotes: 0GitHub stars: 10
- Chro AdvisorPeople leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retentionVotes: 0GitHub stars: 10