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Generates project READMEs with two variants: a generic open-source template and a specialized 42 School project template. Use when the user asks to generate, update, or create a README file.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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Review AI-generated or human-written code changes with fallow's graph-grounded review brief. Subtracts deterministic concerns (unused code, complexity, duplication, styling) from the loop, ranks what to look at by blast radius and risk, and surfaces the few consequential structural decisions (new public-API contracts, coupling/boundary crossings, new dependencies) as framed judgment questions anchored to verifiable signals. Drives a closed agent-contract loop: fetch the walkthrough guide, return a judgment, and have fallow post-validate it against the live graph (hallucinated or stale judgments are rejected). Use when asked to review a PR, review a branch, review a diff, do a code review, or check changed code before merge.
Codebase intelligence for TypeScript and JavaScript. Static analysis of code and styles reports changed-code risk, cleanup opportunities, duplication, circular dependencies, complexity hotspots, architecture boundaries, design-system drift, feature flags, and opt-in security candidates. Runtime coverage can merge production execution data for hot-path review, cold-path deletion confidence, and stale-flag evidence. 123 framework plugins, zero configuration, sub-second static analysis. Use when asked to audit PR risk, find unused code or dependencies, detect duplicates, check styling consistency, inspect architecture boundaries, merge runtime coverage, auto-fix supported issues, or run fallow.
Writes and reviews semantic, accessible HTML and template markup that stays readable and low-noise. Use when creating or refactoring HTML or Svelte templates, cleaning up div soup, choosing better elements, improving form markup, fixing heading or landmark structure, or replacing custom controls with native HTML.
Deep web research using parallel sub-agents. Classifies question into depth tier (quick/standard/deep), spawns proportional researcher sub-agents, synthesizes into short answer + detailed report with citations. Use when user asks "best X for Y", "compare A vs B", "what is best approach for Z", "research X", "how does X compare to Y", or needs deep investigation.
Execute a planned workflow autonomously without stopping to explain steps. Halts only for manual testing, missing information, or major ambiguity. Use when user wants to start deep work, run autonomously, or execute a plan without interruptions.
| name | readme-gen |
| description | Generates project READMEs with two variants: a generic open-source template and a specialized 42 School project template. Use when the user asks to generate, update, or create a README file. |
This skill generates structured, professional README.md files. It supports two distinct variants based on the user's project context. Before generating, determine which variant applies (by looking for 42 specific files like subject.txt or asking the user) and apply the correct template.
package.json, subject.txt, source code) to extract project details (name, tech stack, descriptions).README.md.Use this for standard open-source projects, generic applications, and libraries.
# <Project Name>. Include relevant standard badges (e.g., Build status, NPM Version, License).Use this exclusively for 42 School projects (e.g., Tokenizer, Web3, Core curriculum).
# <Project Name> (42 <Track Name, e.g. Web3>), plus any tech stack badges (e.g., Web3, C, C++).> 42 School project: [Brief description]make), run, or deploy.TBD if not deployed).This project is part of the 42 School curriculum.