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Found 540 Skills
Migrates REST APIs to GraphQL incrementally with schema stitching, REST datasources, and gradual endpoint migration. Use when users request "migrate to GraphQL", "REST to GraphQL", "GraphQL wrapper", or "API modernization".
App Store optimization skills for descriptions, screenshots, keywords, and review responses. Use when user needs help with App Store presence, ASO, or customer communication.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
AI-powered web search, research, and reasoning via Perplexity
App Store Optimization (ASO) and mobile app marketing expert. Specializes in App Store and Google Play optimization, user acquisition, and app launch strategies. Use when launching apps, optimizing store listings, or planning mobile marketing campaigns.
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
Deep market research — competitor analysis, user pain points, SEO/ASO keywords, naming/domain availability, and TAM/SAM/SOM sizing. Use when user says "research this idea", "find competitors", "check the market", "domain availability", "market size", or "analyze opportunity". Do NOT use for idea scoring (use /validate) or SEO auditing existing pages (use /seo-audit).
AI situational awareness — internal threat detection for hallucination risk, scope creep, and context degradation. Maps Cooper color codes to reasoning states and OODA loop to real-time decisions. Use during any task where reasoning quality matters, when operating in unfamiliar territory, after detecting early warning signs such as an uncertain fact or suspicious tool result, or before high-stakes output like irreversible changes or architectural decisions.
DeepSeek AI large language model API via curl. Use this skill for chat completions, reasoning, and code generation with OpenAI-compatible endpoints.
Project notes system for preventing AI context loss and reasoning loops. Initialize notes, save notes mid-flow, recover context, migrate messy notes, and resolve lessons. Subcommands: /notebook, /notebook save, /notebook recover, /notebook migrate.
Saves, retrieves, and searches structured context (reasoning, decisions, trade-offs) behind AI-generated code, linked to git commits. Use when the developer says "save this session with GitWhy", asks about past context or decisions, or wants to push context to a PR. Also use after significant implementation work, debugging sessions, or architecture decisions.