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Found 737 Skills
Recursive codebase analysis using the RLM paradigm. Use when: analyzing large codebases (100+ files), investigating cross-cutting patterns, recursive decomposition of complex code questions, scanning for issues across entire repos. Triggers: analyze this codebase, how does X work across the codebase, scan all files for Y, recursive analysis, RLM.
ALWAYS LOAD THIS SKILL when: something doesn't work as expected, documentation is unclear, need to understand library internals, debugging integration issues, or before making assumptions about how a library works. Contains opensrc repo paths, debugging workflows, and examples for Effect, TanStack, TRPC, Drizzle, Better Auth, OpenCode.
Launch the app and hands-on verify that changes work by interacting with it. Use when the user asks to "smoke test", "test it manually", "verify it works", "try it out", "run a smoke test", "check it in the browser", or "does it actually work". Not for unit/integration tests.
Write LinkedIn posts matching a specific technical author's voice — direct, analytical, dry-humored, and precise. Use this skill whenever the user asks to write, draft, rewrite, review, improve, or refine a LinkedIn post, social media post, tech commentary, or any public-facing short-form writing about technology, AI, software engineering, or developer tools. Also trigger when the user says "write this in my style", "post about this", "rewrite this for LinkedIn", "draft a post in my style", "does this sound right", "how should I phrase this", or provides raw content/notes and wants it shaped into a post. Includes visual companion guidance for pairing posts with document carousels (via md-to-pdf with Mermaid diagrams), custom images (via concept-to-image), or animations (via concept-to-video).
Build a 4-quadrant empathy map (Says, Thinks, Does, Feels) to synthesize user research into actionable insights. Use when you need to quickly capture and share user understanding across the team.
Use when the user needs workflow orchestration such as branching, concurrency, approvals, waiting and resume, runtime stream, restart-safe execution, mixed sync/async function or module orchestration, event-driven fan-out, process-clarity refactors that make stages explicit, performance-oriented refactors that collapse split requests, or explicit draft-review-revise style multi-stage flows. The user does not need to say TriggerFlow explicitly.
Goldsky Turbo pipeline YAML reference — the authoritative source for field names, required vs optional fields, and valid values. Use whenever the user asks about specific YAML fields: what does `start_at: earliest` vs `latest` do, what fields does a postgres/clickhouse/kafka sink require, what is the `from:` field in a sink, how does `checkpoint` work, what's the syntax for `batch_size` or `primary_key`. Also use for validation errors like 'unknown field' or 'missing required field'. For interactive pipeline building end-to-end, use /turbo-builder instead.
Launch new products from idea to first customers. Use when launching products, finding early adopters, building launch week playbooks, diagnosing why adoption stalls, or learning that press coverage does not equal growth. Includes the three-layer diagnosis, the 2-week experiment cycle, and the launch that got 50K impressions and 12 signups.
Help the user shape technical blog posts, website articles, devlogs, essays, or long-form drafts without writing the full post for them. Use this whenever the user shares rough notes, a brain dump, unordered ideas, bullet points, or half-written sections, or asks for help turning notes into an outline, finding the angle, sharpening the hook or thesis, improving structure, clarifying the argument, tightening flow, stress-testing the payoff, or making a technical piece more engaging while preserving their voice. Use it even if the user does not explicitly ask for a writing guide, as long as they need help organizing and developing a post rather than having it ghostwritten. Guide with organization, critique, focused questions, and tiny example lines only; do not write the final article.
Statistical rule discovery through measurement of Go codebases: Count patterns, derive confidence-scored rules, produce Style Vector fingerprint. Use when analyzing codebase conventions, extracting implicit coding rules, profiling a repo before onboarding or PR automation. Use for "analyze codebase", "find coding patterns", "what conventions does this repo use", "extract rules", or "codebase DNA". Do NOT use for code review, bug fixes, refactoring, or performance optimization.
Systematic 4-phase codebase exploration: Detect, Explore, Map, Summarize. Use when starting work on an unfamiliar codebase, onboarding to a new project, reviewing a repository for the first time, or building context before debugging or code review. Use for "explore codebase", "what does this project do", "understand architecture", or "onboard me". Do NOT use for modifying files, running applications, performance optimization, or deep domain analysis.
Runs a structured brand intake interview and then conducts web research to build a comprehensive brand context document. Use this whenever the user says they're working on a new client, wants to build brand context, or says "run brand intake", "conduct brand research" or "build brand context for [brand]". Also trigger when the user starts a creative strategy workflow for a brand that doesn't yet have a context document in the project. This must run BEFORE any Creative Strategy Engine, Hook Writing, or other execution work — it is the prerequisite context layer for all downstream creative strategy.