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65,097 skills found
planning-worldbuilding
Decomposes a large worldbuilding task into a sequenced plan with concrete steps, target files, verification criteria, and dependency order. Use before building a new civilization, designing a planet, or any task spanning more than 3 files. Triggers on "plan this", "break this down", "how should we approach", "build plan for", or "what is the sequence". Does NOT write content — produces the plan on
verifying-completion
Runs a mandatory completion checklist before declaring any worldbuilding task finished. Catches missing frontmatter, broken cross-references, unlinked glossary terms, and deferral language. Use after writing any content, before reporting task complete, or when user says "is this done", "verify", "check my work", or "completion check". Does NOT write content — only verifies.
user-stories
Write, review, or rewrite user stories. Use this skill whenever the user (or a subagent you spawn) is asked to draft, improve, refine, split, rewrite, or review user stories, convert functional requirements into stories, or groom a backlog — even if they don't explicitly mention "user stories". Applies anywhere stories are being produced, including prompts like "turn these requirements into ticket
vapt-claude
Full-spectrum web application VAPT skill for Claude Code, OpenCode, Codex CLI & Gemini CLI — from reconnaissance to exploitation to remediation reporting
interrogating-design
Systematically interrogates a worldbuilding decision, lore proposal, or science derivation through exhaustive questioning until all implications, contradictions, and dependencies are resolved. Use when stress-testing a new concept, validating a proposed rule, or when user says "grill me", "stress test this", "what are the implications", "does this break anything", "think through this with me", "ch
example-workflow
Example skill demonstrating all skill patterns and best practices. Use when user asks for "skill examples", "skill patterns", or wants to learn about skill development.
skill-selector
Analyze an implementation plan (defaults to .flow/specs/), discover relevant skills from the ecosystem, install them, and rewrite the plan to leverage installed skills. Use when user has a build plan, flow-next epic spec, or feature request and wants to equip the agent with the best available skills before building. Triggers on 'select skills for', 'equip for plan', 'find skills for this plan', 's
workflow-node-setup
Configure, adjust, debug, and verify React Flow workflow nodes. Use when working on custom node components, especially for node handles, multi-channel connections, edge ids/styles, NodeResizer behavior, drag handles, nodrag/nowheel areas, and markdown scroll containers.
designing-worlds
Generates physical world foundations: biomes, planetary systems, climate, and ecological zones with embedded narrative tension. Use when creating a new world, planet, biome, or ecosystem, or when user says "new world", "new planet", "new biome", "build a world", "create a setting", or "environmental design". Does NOT write final files — use /writing-worldbuilding for that.
writing-style
Generates a WRITING.md file with YAML tokens for prose consistency — voice, tense, forbidden words, citation format, equation format, locked spellings — paired with usage rationale. Use when establishing prose standards, updating style rules, or when user says "WRITING.md", "style guide", "prose standards", "writing tokens", "voice", "style system", or "writing rules". Does NOT write content — gen
writing-worldbuilding
Writes new worldbuilding content: civilizations, characters, locations, factions, events, languages, or narrative elements. Use when creating new entries, expanding existing ones, or when user says "create", "write", "add", "flesh out", "build", or "expand" for any non-science content. Does NOT write science files — use /writing-science for that.
sup-learn
Use this skill whenever the user wants to build, train, evaluate, or iterate on a supervised machine learning or deep learning model. Triggers include: any mention of training or fitting a model with labeled data, dataset preparation, hyperparameter tuning, cross-validation, model checkpointing, experiment tracking, overfitting, loss curves, metrics, or prediction visualization. Also trigger when