저장소 README를 불러오는 중…
수집된 skill 228개 중 40개를 표시합니다.
Use when running, reviewing or changing coco's self-evolution cycle: the 30-day loop that observes how skills are actually used, proposes evidence-backed edits to them as one branch and one pull request, and lands nothing without the owner's merge. Also use…
원문 언어: 영어
Build and validate .arch/index.json — a committed map from each architectural component of this repository to the real directories and files that implement it, pinned to a git commit, with every path verified to exist. Also detects structural drift between…
원문 언어: 영어
Install, update, version-check, or uninstall the Coco open-source AI workflow framework via bin/coco.js. Use when setting up Coco on a machine, checking out the pinned release tag into an existing clone, checking the installed version, or removing it. npx…
원문 언어: 영어
Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…
원문 언어: 영어
Your climate and energy brain trust. 25 named personas across 7 cells covering energy transition, carbon markets, climate modeling, sustainability, grid infrastructure, environmental policy, and ESG.
원문 언어: 영어
Data & Analytics Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
원문 언어: 영어
Your education and edtech brain trust. 25 named personas across 7 cells covering learning science, curriculum design, AI tutoring, higher-ed strategy, edtech platforms, assessment, and workforce development.
원문 언어: 영어
Your software-engineering brain trust. Named personas across 11 cells covering cloud architecture, reliability/SRE/observability, data and storage, security, FinOps, languages and runtimes, systems programming, web and frontend…
원문 언어: 영어
Your finance brain trust and decision partner. Named personas across 7 cells: valuation/corporate finance, investing, accounting/FP&A, macro, fintech, behavioral, and capital markets/M&A/private. Markets/quant/derivatives are reserved for…
원문 언어: 영어
Sales, GTM & Marketing Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
원문 언어: 영어
Your healthcare and life sciences brain trust. 25 named personas across 7 cells covering drug discovery, medtech, biotech strategy, health policy, genomics, clinical trials, and healthcare economics.
원문 언어: 영어
Your legal, IP, and regulatory brain trust. 31 named personas across 7 cells covering patent strategy, tech licensing, regulatory litigation, AI governance, open-source compliance, privacy law, and antitrust.
원문 언어: 영어
Your product + design brain trust and decision partner. Named personas across 8 cells spanning product strategy, discovery/research, growth/metrics, design foundations/usability, design leadership/craft, UX/content, design systems, and a…
원문 언어: 영어
Risk & Compliance (GRC) Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
원문 언어: 영어
Strategy Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
원문 언어: 영어
Trading Super Intelligence Team. Named real-world personas across 8 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
원문 언어: 영어
Use when the user says run the rest autonomously, overnight, or hands-off through the remaining phases. Runs discuss, plan, execute per phase, pausing only for user decisions, then milestone audit, complete, and cleanup.
원문 언어: 영어
Use when working with this machine's local LLM setup (LM Studio + mlx-dspark) -- checking status, changing context window, diagnosing a reasoning hang or dead request, understanding RAM/speed tradeoffs, or wiring a new script to the local inference endpoint.
원문 언어: 영어
Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.
원문 언어: 영어
Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.
원문 언어: 영어
Use when implementing, reviewing, or debugging Apple Liquid Glass: iOS 26+ adoption, Regular vs Clear variants, tinting, scroll edge effects, or an iOS-native redesign review.
원문 언어: 영어
Use when the agent must open a URL, fill a form, click through a flow, screenshot a page, or extract data from a live page. Covers two providers (agent-browser local CLI, agentic-browser cloud) and the shared @e ref workflow.
원문 언어: 영어
Use for architecture, current-state, process, data-flow, medallion, or DP diagrams, including redrawing .drawio and Mermaid sources. Creates branded flowchart, sequence, ER, org, timeline, and chart visuals as standalone HTML/SVG/PNG.
원문 언어: 영어
Use when the user invokes /coco or /coco!, says catch me up, or asks what needs attention, a project status, their todos, decisions or people. Renders the PM dashboard and routes each subcommand to its platform tool or a PM skill.
원문 언어: 영어
Use after every code change, after writing tests, or before marking a task complete, and when the user says verify, quality gate, or audit code. Runs a 7-category mechanical check for TDZ, import, dead code, and mock leakage bugs.
원문 언어: 영어
Use when the user asks for a landing page, marketing site, portfolio, or redesign, not dashboards or data tables. Infers a design read, sets the three dials, picks a real design system, and blocks generic AI patterns at pre-flight.
원문 언어: 영어
Use when linked docs drift, when a source file changes and downstream PRDs, decks, or notes must follow, or when a .sync-report.md exists. Diffs the proposed edits, applies them only after approval, and never overwrites a target file.
원문 언어: 영어
Use when adding server-side API routes to an Expo Router app (+api.ts files) for secrets, database access, third-party proxies, webhooks, CORS, or EAS Hosting deploys. Covers file routing, env vars, and Cloudflare Workers limits.
원문 언어: 영어
Use when implementation is done and tests pass and the user must choose to merge locally, open a PR, keep the branch, or discard it. Presents those four options, executes the choice, and cleans up the worktree for merge and discard.
원문 언어: 영어
Use when asked to generate tests for a file, module or component, to raise coverage, or to bootstrap a suite for untested code. Detects the project's test framework and conventions first, then writes unit, integration and edge-case tests.
원문 언어: 영어
Use when the user asks for an incident response plan, IRP, escalation matrix or incident playbook. Writes an offline HTML plan with severities, escalation contacts and comms; DR restores service, IRP runs the incident.
원문 언어: 영어
Use when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week). Ingests and searches with local ChromaDB embeddings.
원문 언어: 영어
Use when implementing GPT chat, streaming, function calling, embeddings for RAG, images, audio or batch jobs, or troubleshooting 429 rate limits and API or TypeScript errors. Stateless OpenAI patterns that prevent 16 documented errors.
원문 언어: 영어
Use when the user asks for a PRD, requirements doc, or product spec grounded in the existing repo, or wants a token-efficient PRD folder. Runs repo reconnaissance, expert questioning, then writes the PRD.
원문 언어: 영어
Use when starting a new project, onboarding to an existing product, or auditing an existing folder structure against the standard. Scaffolds the 16-document set, folder structure, project memory and doc-sync config.
원문 언어: 영어
Use when the user asks to make an existing website or app look premium, remove generic AI-looking design, or polish a UI without changing functionality. Audits the stack, lists the generic AI patterns, and upgrades in place.
원문 언어: 영어
Use when the user asks to create, scaffold, update or package a skill, or asks how skill frontmatter, progressive disclosure or bundled resources should be structured. Walks through init_skill.py, writing SKILL.md and package_skill.py.
원문 언어: 영어
Use when the user says I want to add X, implement Y, create a task for Z, or plan this feature. Writes a task file plus a PRD under .agent/, links them, and waits for approval before any implementation starts.
원문 언어: 영어
Use when designing, building or reviewing UI/UX for a web or mobile app: picking styles, color palettes, typography, layout, animation or charts, or checking accessibility and touch targets. Priority-ranked rules ordered by impact.
원문 언어: 영어
Use when facing architectural decisions, complex trade-offs, strategic technology choices, or scaling and migration questions that deserve more than a quick answer. Lays out options with trade-offs, then a recommendation.
원문 언어: 영어
이 프롬프트를 복사해 사용 중인 AI 어시스턴트에 입력하세요.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/coco-research/coco.README를 불러오지 못했습니다. 아래의 저장소 Skill 목록은 계속 이용할 수 있습니다.