Blueprint
affaan-m/ECC
将单行目标转化为多会话、多代理工程项目的分步构建计划。每个步骤包含独立的上下文简介,以便新代理能直接执行。包括对抗性审查门、依赖图、并行步骤检测、反模式目录和计划突变协议。触发条件:当用户请求复杂多PR任务的计划、蓝图或路线图,或描述需要多个会话的工作时。不触发条件:任务可在单个PR或少于3个工具调用中完成,或用户说“直接执行”时。
Adopt Blueprint into an existing brownfield codebase by surveying shipped behavior and generating plans, standards, commands, adapter choices, and visibility setup.
$ npx skills add aiblueprinthq/ai-blueprint --skill adopt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiblueprinthq/ai-blueprint adopt --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/adopt .claude/skills/adopt && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "adopt" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/adopt into .claude/skills/adopt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adopt", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/adoptType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiblueprinthq/ai-blueprint --skill adopt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiblueprinthq/ai-blueprint adopt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/adopt .agents/skills/adopt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "adopt" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/adopt into .agents/skills/adopt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adopt", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiblueprinthq/ai-blueprint --skill adopt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiblueprinthq/ai-blueprint adopt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/adopt .cursor/skills/adopt && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "adopt" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/adopt into .cursor/skills/adopt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adopt", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiblueprinthq/ai-blueprint.git --path .agents/skills/adopt--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiblueprinthq/ai-blueprint --skill adopt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiblueprinthq/ai-blueprint adopt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/adopt .gemini/skills/adopt && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "adopt" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/adopt into .gemini/skills/adopt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adopt", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiblueprinthq/ai-blueprint adoptInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiblueprinthq/ai-blueprint --skill adopt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/adopt .github/skills/adopt && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "adopt" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/adopt into .github/skills/adopt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adopt", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiblueprinthq/ai-blueprint --skill adopt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiblueprinthq/ai-blueprint adopt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/adopt .opencode/skills/adopt && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "adopt" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/adopt into .opencode/skills/adopt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adopt", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
adoptAdopt Blueprint into an existing brownfield codebase by surveying shipped behavior and generating plans, standards, commands, adapter choices, and visibility setup.
Adopt is an agent skill from aiblueprinthq/ai-blueprint. Adopt Blueprint into an existing brownfield codebase by surveying shipped behavior and generating plans, standards, commands, adapter choices, and visibility setup. Use for /adopt or requests to bootstrap Blueprint into an established app. Use onboard for a fresh scaffold.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: A file-backed, spec-driven AI coding workflow framework for building real software while staying in control. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 96222b7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Adopt loads about 2.7k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 1,433 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from aiblueprinthq/ai-blueprint at commit 96222b7, republished under its MIT licence (© aiblueprinthq). 1,433 words, ~2,695 tokens.
.claude/skills/adopt/SKILL.md (or your agent's skills folder).Context reuse: Reuse any required file already loaded in project instructions or the current session. Read it again only if absent, changed, or exact current bytes or line references are needed.
First action: Before project inspection, preflight, or any other tool call,
publish running to blueprint/.state/run.json using the dashboard activity
contract in AGENTS.md.
Where this sits in the workflow:
existing codebase -> [adopt] -> project-plan + build-plan + coding-standards -> /overview -> normal loop
(already has code) (survey + (seeded from the real code; shipped (project- (/feature,
interview) features already checked off) overview.md) /implement, ...)The standard onboarding assumes a freshly scaffolded, near-empty app: you write
the two plans from scratch and build forward. That doesn't fit a project that
already has thousands of lines of working code. /adopt is the brownfield
on-ramp: it reads what's already there, asks you only for what the code can't tell
it (the why and the roadmap), and produces the same input files the rest of
the workflow expects - so an existing project joins the loop without you
hand-writing everything.
It generates the inputs; it does not generate project-overview.md. That stays
/overview's job. /adopt ends by telling you to run /overview.
A description of what the project is, if the user offers one. Otherwise just the repository itself. No argument is required.
Look at blueprint/project-plan.md and blueprint/build-plan.md.
Never overwrite a filled-in plan without explicit confirmation. Never run a framework scaffolder (the blueprint is an overlay, never a generator).
Protect the project README:
README.md already looks like a real project README, leave it
alone.README.md is the copied Blueprint workflow doc (for example it
starts with # AI Coding Blueprint), report it as obsolete overlay content
and ask before replacing or removing it. Do not move it into blueprint/.Read the repo to establish the facts. Change nothing in this step. Establish:
package.json, requirements.txt, pyproject.toml, go.mod,
Gemfile, Cargo.toml, etc.). Note the package manager actually in use (lockfile).AGENTS.md and, per the testing opt-in switch, decide
whether a testing gate even applies..github/workflows/, or external CI. Preserve what already exists.Keep notes; you'll turn them into the files in Step 3.
The code reveals what and how, never why or what next. Ask the user a short set of questions (aim for three to five, not an interrogation) to fill the gaps:
If the user already gave intent up front, skip what they've answered. Don't ask what you can read from the code.
Write these, drawn from the survey (facts) and the interview (intent). Mark every
inference you're unsure of with a clear > TODO (confirm) so the user can correct
it rather than inherit a wrong guess.
blueprint/project-plan.md - the what & why, following the existing
worksheet structure (problem, users, features, data, tech, monetization, UI/UX).
The "features" and "tech" sections describe what already exists; the rest comes
from the interview.blueprint/build-plan.md - the ordered feature list as a checklist. Mark
shipped features - [x] (this is the brownfield difference: the build plan
reflects reality, so most of an existing app starts checked) and the roadmap
items from the interview as - [ ]. This makes /status and /feature work
immediately - the next unchecked item is genuinely what's next.blueprint/context/coding-standards.md - rewrite the default to match the
project's actual conventions from Step 1, not the shipped Next.js/Prisma
defaults. Keep the Writing and Comments sections; replace the stack-specific ones
with what the code really does. Its Testing section must reflect the real testing
state (the opt-in switch is a test command in AGENTS.md).AGENTS.md Commands section - fill in the real dev / build / test / lint
commands you found, so the rest of the workflow (and the testing gate) uses the
project's actual scripts. Include Verify when a real combined command exists.Do not write project-overview.md; that's /overview's job, downstream of these.
Do not create or change Verify commands or GitHub workflows during adoption. Report any verification command or CI already present. When equivalent automatic pull-request checks are absent, mention the optional standalone setup:
Run /ci or $ci when you want automatic GitHub checks.Explain that CI is not required to finish adoption. The /ci skill owns
project-specific Verify and GitHub workflow setup.
Ask how the Blueprint workflow files should be handled in git, unless the user already gave a preference:
Blueprint visibility?
1. Commit Blueprint workflow files
Portable. Best for teams and working across machines.
2. Keep Blueprint workflow files local
Adds .agents/, .claude/, blueprint/, and CLAUDE.md to .gitignore.
Keeps AGENTS.md public as the lightweight project agent guide.Recommend option 1 by default. If the user chooses option 2:
Add this block to .gitignore, preserving existing entries:
# AI Blueprint local workflow files
.agents/
.claude/
blueprint/
CLAUDE.mdKeep AGENTS.md tracked. It remains the lightweight public project guide for
commands and conventions.
Make AGENTS.md public-safe: keep project description, commands, testing gate,
and coding conventions, but remove or avoid Blueprint workflow explanations,
hidden adapter paths, workflow-document pointers, and core skill lists that
would expose the local-only workflow.
Explain that local-only mode hides the workflow contents from the repo, but the
.gitignore names still reveal the ignored paths.
Explain that Blueprint state, specs, findings, and history will not travel with the repo; another machine needs the Blueprint reinstalled or restored locally.
Because adoption runs right after the Blueprint files were added to an
existing repository, they are more likely to already be staged or committed
than in a fresh install. If any of .agents/, .claude/, blueprint/, or
CLAUDE.md are already tracked, say .gitignore will not hide tracked files.
Ask before running
git rm --cached -r .agents .claude blueprint CLAUDE.md, and
only run it if the user explicitly approves. Never delete the local files.
Stop and show the user what you generated, calling out:
> TODO (confirm) you left,These files are the ones the user owns. Have them review and adjust, then tell
them to run /overview to distill the plans into project-overview.md and start
the normal loop.
coding-standards.md must match the code
that exists. A project using Zustand and REST routes should not be handed
standards about Server Actions and Prisma just because that's the default.AGENTS.md;
record only established usage or trust constraints and leave unknowns blank.> TODO (confirm). Silent guesses about purpose are the main failure mode.AGENTS.md public in local-only mode unless the user explicitly asks for
a more advanced setup.git rm --cached without a separate
explicit approval.Format the output to match the project's conventions in
blueprint/context/ai-interaction.md: concise, scannable markdown, with lists for
enumerations and tables for matrices rather than dense paragraphs.
© aiblueprinthq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/adopt of aiblueprinthq/ai-blueprint.
Open the folder on GitHubat commit 96222b7
Adopt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Adopt this skillaiblueprinthq/ai-blueprint | 463 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Blueprintaffaan-m/ECC | 276k | 2 repos | ~604 | Automated safety check: Pass | MIT | |
| Blueprintaffaan-m/ECC | 276k | — | ~421 | Automated safety check: Pass | MIT | |
| AdoptDonchitos/Claude-Code-Game-Studios | 26k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Blueprintsickn33/agentic-awesome-skills | 47k | 2 repos | ~1k | Automated safety check: Pass | MIT | |
| Brownfield Adoptionhashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 |
affaan-m/ECC
将单行目标转化为多会话、多代理工程项目的分步构建计划。每个步骤包含独立的上下文简介,以便新代理能直接执行。包括对抗性审查门、依赖图、并行步骤检测、反模式目录和计划突变协议。触发条件:当用户请求复杂多PR任务的计划、蓝图或路线图,或描述需要多个会话的工作时。不触发条件:任务可在单个PR或少于3个工具调用中完成,或用户说“直接执行”时。
affaan-m/ECC
1行の目的を複数セッション、複数エージェントエンジニアリングプロジェクト向けのステップバイステップ構築計画に変換します。各ステップには自己完結型コンテキストブリーフがあり、新しいエージェントがそれをコールドで実行できます。
Donchitos/Claude-Code-Game-Studios
Brownfield audit — do existing artifacts actually work?. An agent skill from Donchitos/Claude-Code-Game-Studios.
sickn33/agentic-awesome-skills
Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold.
hashgraph-online/awesome-codex-plugins
Step-by-step process for adopting Cavekit on an existing codebase.
receptron/mulmoterminal
Measure what chaff reports on the named documents today, as the kind the person chose, and propose the setup — changing nothing yet.
aiblueprinthq/ai-blueprint
Set up or normalize one project Verify command and matching GitHub Actions checks while preserving existing CI, with an optional local pre-push hook.
aiblueprinthq/ai-blueprint
Run a Blueprint health and context check covering setup, adapters, commands, visibility, plans, overview freshness, configuration, dashboard state, and workflow drift.
aiblueprinthq/ai-blueprint
Turn the next, named, or numbered build-plan feature into a buildable current-feature.md spec with small steps and done-when criteria.
aiblueprinthq/ai-blueprint
Onboard a fresh or early scaffold after Blueprint is overlaid by tuning commands, standards, adapters, visibility, and context loading.
aiblueprinthq/ai-blueprint
Validate and normalize project-plan.md and build-plan.md, then generate the durable project-overview.md used by agents.
aiblueprinthq/ai-blueprint
Brief an upcoming build-plan feature without writing files. An agent skill from aiblueprinthq/ai-blueprint.
Adopt Blueprint into an existing brownfield codebase by surveying shipped behavior and generating plans, standards, commands, adapter choices, and visibility setup. Adopt is an agent skill from aiblueprinthq/ai-blueprint. Adopt Blueprint into an existing brownfield codebase by surveying shipped behavior and generating plans, standards, commands, adapter choices, and visibility setup.
Adopt fits situations like: requests to bootstrap Blueprint into an established app.
Run `npx skills add aiblueprinthq/ai-blueprint --skill adopt -a claude-code`. Or copy the skill folder (.agents/skills/adopt in aiblueprinthq/ai-blueprint) into .claude/skills/adopt in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aiblueprinthq/ai-blueprint --skill adopt -a codex`. Or copy the skill folder (.agents/skills/adopt in aiblueprinthq/ai-blueprint) into .agents/skills/adopt in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiblueprinthq/ai-blueprint --skill adopt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adopt, .gemini/skills/adopt, .github/skills/adopt and .opencode/skills/adopt in your project.
Going by SKILL.md and its folder, Adopt needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Adopt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Adopt: Blueprint (affaan-m/ECC, 276k stars), Blueprint (affaan-m/ECC, 276k stars), Adopt (Donchitos/Claude-Code-Game-Studios, 26k stars) and Blueprint (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aiblueprinthq (a GitHub organization) maintains it in aiblueprinthq/ai-blueprint, which has 463 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.
Source: aiblueprinthq/ai-blueprint on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.