522 skills · sorted by relevance
Bootstrap or harden a project's operating model for mixed human and AI delivery teams. Use when starting a repository, adopting an agent harness, defining authority and risk tiers, coordinating parallel agents safely, binding evidence and review to an exact candidate, or correcting fragmented rules that prevent coherent, consistent, complete delivery.
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Initialize the standard Interlateral two-agent CLI mesh from a bootstrap agent by running me.sh, launching Claude Opus 4.7 plus Codex 5.5, proving live ACK, and waiting for "Reporting for Duty!". The bootstrap agent is not part of the mesh.
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Bootstrap a new or existing project with a small, file-based documentation system so Claude Code keeps context, lessons, and decisions across session restarts instead of starting cold every time. Sets up a handful of markdown files under .claude/ (standing rules, a free-form note to your next session, a phased roadmap, a prioritized backlog, and searchable history/changelog archives) sized and split so the files read every session stay small while the archives grow without ever costing context. Use this whenever someone is starting a new project and asks how to structure it for long-running AI-assisted work, wants Claude to "remember" things between sessions without relying on chat history, asks for a CLAUDE.md + backlog + changelog setup, mentions "session continuity", "persistent context", "project memory system", or is retrofitting an existing codebase that has no such system yet. Also use to explain or extend an already-bootstrapped bottle system (add a rule, start the archival script, add a new backlog section).
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agents-bridge — the Lifeboat, auch: Time Capsule. Portable, provider-neutral file bridge for bootstrap surfaces, truth pointers, separate memory silos, messaging, presence, cooperative locks, and reversible host recovery.
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Meta-/Umbrella-Skill für die Familie „Projekt-/Pipeline-Aufbau & -Umbau". Kennt alle Skills für Anlegen, Aufnehmen, Umbauen und Analysieren von Projekten und Pipelines und leitet zum passenden weiter. Nutze diesen Skill, wenn unklar ist, ob etwas neu angelegt (Greenfield) oder umgebaut (Bestand) werden soll bzw. ob es um ein einzelnes Projekt oder eine ganze Pipeline geht. Auch auslösen bei „neues Projekt/Pipeline anlegen", „bestehendes umbauen", „Projekt aufnehmen", „Ordnerstruktur renovieren", „welcher Bootstrapper passt".
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Bootstrap an AI-agent skill from a TypeScript codebase by running the deterministic skillit generate/audit loop and enriching repo source (JSDoc, README, config-type properties, MCP tool annotations, examples, package.json) until the skill reaches its grade target. Use for cli, typedoc, config, or mcp (build-mode) projects; never edit SKILL.md/references directly.
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Start a new private GitHub project the AOS way: create the private repo, bootstrap AOS (project card, AGENTS.md, wiki, memory, CI choice), push after GO, and confirm the first CI run is green and the repo is still private. Use for "new project", "start a repo", "bootstrap a project".
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Bootstrap een klantproject voor 42-SEO-Skills. Vraagt naar profiel (content/ecom/technical/full), activeert alleen relevante skills via disabledSkills in .claude/settings.local.json, zet auth (.env) op, maakt de gedeelde Python venv in ~/.claude/venvs/42-seo/, en prikt 42-reports/<klant>/ neer. Use when user says "init SEO project", "42-init", "setup SEO", "nieuw klantproject", "initialiseer SEO".
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Windows アプリ開発 (MSIX / Microsoft Store) のパッケージング・配置・公開リファレンス。 MSIX, MSIX Core, AppxManifest, MakeAppx, MSIX Packaging Tool, パッケージボリューム, Package Bundles, App Attach, PSF (Package Support Framework), Package Identity, PackageFamilyName, スパースパッケージ, App Installer, サイドローディング, PackageManager, Windows App SDK Bootstrapper, 自己完結型デプロイ, SignTool, 証明書, Azure Trusted Signing (Azure Artifact Signing), CI/CD 署名, GitHub Actions, msstore CLI, Partner Center ロール, アプリ送信, ストアリスティング, 年齢レーティング, 認定プロセス, 段階的ロールアウト, StoreContext, 分析レポート。
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Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do onboarding", "personalize this AI", "make you mine", or when a SOUL.md is missing. Also trigger for updates: "update my SOUL.md", "change my AI's personality", "tweak the soul".
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Bootstrap full agent infrastructure for an existing, already-coded project without modifying a single line of source code. Surveys the repo, infers conventions from manifests, README, git history, and source samples, then generates the missing AGENTS.md, docs/architecture.md, docs/product-soul.md, ADR backfill, and seeded docs/memory/ files. Asks the user only about gaps the repo cannot reveal. Load when the user asks to "retroactive project setup", "backfill agent infrastructure", "bootstrap agents for this existing repo", "onboard agents to a legacy codebase", "set up agents without touching code", or "fill in missing agent context for this project".
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Generate a tailored AGENTS.md for any new project by interviewing the user about their skill gaps, project goals, and tech context. Load when the user asks to set up a project, initialize agents, create an AGENTS.md, bootstrap a repo, onboard agents to a codebase, or says "set up this project for agents". Also triggers on "write an AGENTS.md for this project", "configure agents for my repo", "project bootstrap", "agent onboarding", or when the user starts a new project and needs agent-ready configuration. Re-run when new context arrives (PRD written, stack changes, team changes) to update the AGENTS.md.
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AIエージェントのキャラクター定義ファイルを生成するスキル。ユーザーがキャラクター設定（名前、二つ名、年齢、属性、性格、支配の流儀、口癖、外見、絵文字など）を入力すると、それに基づいてIDENTITY.md、SOUL.md、USER.md、AGENTS.md、TOOLS.md、BOOTSTRAP.md、HEARTBEAT.mdの7つのファイルとavatar.pngを配置したキャラクターディレクトリを作成する。また、agent-identity/README.md にキャラクター情報とアバター画像を追加する。ユーザーが「キャラクターを作って」「新しいキャラクターを追加して」「○○っていうキャラクターのファイル作って」と言った時や、キャラクター設定を詳細に提供した時に使用する。
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Prepare to audit a codebase spanning several technologies by installing the external repo-scan skill from a fixed, reviewable commit. This entry provides the installation procedure; the code audit requires invoking the installed skill separately.
Turn a design or requirements document into a working MVP, a minimal product, through small end-to-end feature slices. It coordinates scaffolding, repeated generation and evaluation, reviews, and approval gates, with separate commits for the scaffold and each slice.
A deprecated guide to building MCP servers with mcp-use, covering callable actions, data resources, reusable prompts, and interactive widgets. It includes design references and code examples, and directs users to the replacement skill, mcp-app-builder.
Prepare and publish standalone @cline/ui releases to npm, the package registry. Covers version updates, quality checks, production and preview channels, release verification, and the initial setup that lets GitHub Actions publish the package.
Check whether a code change works by running the app and using its real interface. Exercise the intended flow and nearby error cases, capture outputs or screenshots, and report observed behavior with a clear verdict.
Classify Remotion Studio settings as fixed at startup or reloadable, then wire every component that uses them consistently. Guide implementation and review of configuration reloads, default resets, CLI precedence, and render queue settings.
Scan a codebase to create project documentation and project-specific agent instructions. The first run examines the whole project; later runs focus on changed files, with human confirmation required before updating agent instructions after architectural changes.
Set up a Quarkus application or REST API using Maven or Gradle. Check the Java environment, choose extensions for features such as databases or authentication, generate the project, and run it in development mode with live reload.
Coordinate a small AI development team with planning, implementation, and optional independent testing roles. Adapt the process to the work’s complexity, prepare pull requests, and preserve decisions and next steps so later sessions can continue.
Set up a Python project with AWS CDK, a toolkit for defining cloud infrastructure in code. Follow guidance on prerequisites, AWS credentials, virtual environments, dependencies, template generation, deployment preparation, and reviewing changes before deployment.
Build MCP servers, which expose tools and data to AI agents, with mcp-use. The material covers server functions, reusable prompts, and interactive React widgets, but this skill is deprecated and points to mcp-app-builder as its replacement.