Monitor CI
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
Start coding or resume the approved current feature, fix, or rollback on its branch, testing each step and presenting review.
$ npx skills add aiblueprinthq/ai-blueprint --skill implement -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiblueprinthq/ai-blueprint implement --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/implement .claude/skills/implement && 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 "implement" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/implement into .claude/skills/implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement", 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/implementType 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 implement -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiblueprinthq/ai-blueprint implement --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/implement .agents/skills/implement && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implement" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/implement into .agents/skills/implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement", 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 implement -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiblueprinthq/ai-blueprint implement --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/implement .cursor/skills/implement && 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 "implement" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/implement into .cursor/skills/implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement", 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/implement--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 implement -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiblueprinthq/ai-blueprint implement --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/implement .gemini/skills/implement && 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 "implement" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/implement into .gemini/skills/implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement", 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 implementInstalls 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 implement -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/implement .github/skills/implement && 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 "implement" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/implement into .github/skills/implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement", 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 implement -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 implement --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/implement .opencode/skills/implement && 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 "implement" agent skill from https://github.com/aiblueprinthq/ai-blueprint/tree/main/.agents/skills/implement into .opencode/skills/implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement", 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.
implementStart coding or resume the approved current feature, fix, or rollback on its branch, testing each step and presenting review.
Implement is an agent skill from aiblueprinthq/ai-blueprint. Start coding or resume the approved current feature, fix, or rollback on its branch, testing each step and presenting review. Use for /implement or building current-feature.md.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `reference/rollback-implementation.md`).
It sits in DevOps & Cloud. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1a0b660. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Implement loads about 2.7k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 1,558 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 1a0b660, republished under its MIT licence (© aiblueprinthq). 1,558 words, ~2,749 tokens.
.claude/skills/implement/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.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.
The approved blueprint/context/current-feature.md is the authoritative feature
packet. Implement it and stop before the work-level commit or merge.
First action: Before project inspection, preflight, or any other tool call,
publish the implement activity as running when blueprint/.state/ exists.
Combine it with the first preflight tool batch when supported.
In one preflight batch, read:
blueprint/config.jsonblueprint/context/current-feature.mdAGENTS.mdStop for /doctor on invalid config. Stop for /feature, /fix, or /rollback
when the active spec is empty. Preserve unrelated worktree changes.
Do not reread the full project overview, coding standards, interaction guide, history, findings, or review ledger before coding. The approved spec already contains the product contract and applicable conventions. Read one targeted section only when the spec explicitly depends on a missing detail. Read findings and review state once at the final handoff.
Inspect the implementation surface in one targeted, batched read before editing. Use one additional read batch only when an exact dependency remains unknown and blocks the next change. Do not list or survey the repository, inspect unrelated examples, or run scratch environment probes. Follow the declared runtime and existing target-area patterns, then let the narrow check expose incompatibilities.
Resolve the work branch before editing. Use the exact **Branch:** value in the
spec when present. For an older spec without it, combine the configured prefix
for its type with the work title: lowercase ASCII letters and digits, replace
each run of other characters with one hyphen, and trim edge hyphens. Feature
titles come from the named build-plan item; fix and rollback titles come from
their spec heading or target. Stop if the type or title is ambiguous. Create or
switch to that exact branch and never implement on the default branch. On
resume, start at the first unchecked build step and use git status plus the
checked boxes to distinguish finished work from unfinished work.
If the spec says Type: Rollback, read and follow
reference/rollback-implementation.md before changing product files. Do not load
that reference for a feature or fix.
Follow build steps in order. Build only what the spec says. If a step requires an unresolved product decision, unsafe action, missing prerequisite, or material scope expansion, stop and revise the spec instead of improvising.
Add an abstraction, dependency, service, configuration surface, compatibility layer, or security mechanism only when the approved spec or an established repository requirement needs it now. Prefer existing code, the standard library, native platform features, and installed dependencies. If the simplest complete implementation conflicts with the spec, stop and revise the spec instead of silently building a larger design.
For each step:
Done when.workflow.stepReview is feature; run it once
after all steps. Run Verify earlier only when the step explicitly requires it
or later work cannot proceed without it.fixed, never closed.With verification.logicTests: required, any logic-bearing step stops and
points to /tests when no test runner is configured. Its focused logic tests
must pass before the step can be checked. With verification.uiEvidence: required, a UI done-when cannot pass on build output alone. Capture the
configured browser evidence, or stop and ask the user to start the required
server when live evidence cannot run automatically.
With workflow.stepReview: feature, continue through passing steps and present
one final review packet. With workflow.stepReview: every, stop after each step
with the diff, a short explanation, evidence, and a manual try path when one
exists. Continue only after approval.
Checkpoint commits are offered only when workflow.checkpointCommits is
enabled and the current review gate was approved. Never commit without current
approval. /complete owns the final work-level commit and merge.
Do not create a separate tool round merely to narrate a passing internal step. Keep the durable checkbox current and continue. Split a step when its diff is too large to review.
Before final verification, compare every In scope item and Done when against
the finished diff. For user-facing work, inspect the reachability and error
classification of each required state. Catch only known expected errors at a
boundary; unexpected failures must reach the unexpected-error path. Fix any
missing or contradicted contract before marking the spec verified.
Run a proportionality check before final verification: every new abstraction, dependency, service, configuration surface, compatibility layer, and security mechanism must trace to the approved spec or an established repository requirement. Remove speculative machinery this work added without weakening real trust-boundary validation, data-loss prevention, accessibility, or configured verification.
After all steps pass, run the project's final automated gate once. If
AGENTS.md declares a Verify command, run that exact command. Otherwise run
the fallback build and tests that are actually declared. Never claim a check
passed without its output.
Apply configured regular gates:
qualityGates.regular.always, for behavioral work under when-behavioral, or when
explicitly requested./check guide follows qualityGates.regular.tryGuide: it runs for always,
for user-facing work under when-user-facing, or when explicitly requested.Do not start a dev server. When a required runtime check needs one, ask the user to start it. Build output does not prove visual, persisted-data, authenticated, or end-to-end behavior.
If Verify or a required gate fails, repair only in-scope defects, rerun the narrow failing check, then rerun the final gate. Stop on repeated failure, missing infrastructure, or a product decision.
After final Verify and required Check pass, set the active spec to verified
with every completed box checked. Then resolve independent review before the
final packet:
qualityGates.regular.independentReview does not select review and no
request already exists, proceed directly to the final review packet.Spec snapshot contract without changing visibility. Obtain explicit
commit approval when the exact checkpoint does not already exist, then create
or use it. Configuration, including review.independentExecution: "automatic",
never grants commit permission, even when normal checkpoint commits are disabled.
A local-spec-only revision may reuse the same approved product HEAD after
normal spec and verification gates, with a new snapshot/request and full
fresh review. Do not create an empty commit for ignored spec changes./audit independent current to prepare or reuse the request and record
Requested execution. For requested automatic, start and wait for the
generic isolated current-runtime child instructed from the project-local
Audit skill, then validate the receipt. For requested manual, or when
automatic capability or access to the same local spec/snapshot is unavailable,
preserve the request and stop with the manual fresh-session handoff. Treat an
existing request without Requested execution as legacy manual-only:
never add execution fields or run a subagent against it.Read blueprint/context/findings.md and blueprint/context/review.md once.
Open or fixed P0/P1 findings block /complete. Repair an open blocker as a new
spec checklist step, mark it fixed after its check passes, then send it back to
/audit for closure. Only the user can accept a finding.
When all steps and required gates pass:
ready with /complete as the resume command./complete as the next action.After the final packet, always offer these choices:
The final walkthrough is available with either workflow.stepReview value and
regardless of workflow.checkpointCommits. It is a read-only code tour, not the
manual product-review path produced by /check guide, and it is not verification.
When the user chooses the walkthrough, begin with a short map of the completed feature, then follow the spec's build steps. For each step, explain its purpose, key files and symbols, important data or control flow, and non-obvious decisions. Use file and line links when the client supports them. Do not narrate every line or reload broad project context. End by offering a focused deep dive into one named area. If the feature spans too many distinct areas for one useful pass, name the sections first and let the user choose where to begin. Remain read-only unless the user separately requests changes.
Never create an ordinary step, product, or work-level commit from this skill. The sole exception is exactly one immutable independent-review checkpoint after showing its exact candidate and receiving current explicit commit approval. Configuration never supplies that approval. Never merge, push, deploy, publish, or start unrelated work from this skill.
© aiblueprinthq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in .agents/skills/implement of aiblueprinthq/ai-blueprint.
Open the folder on GitHubat commit 1a0b660
Implement 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 |
|---|---|---|---|---|---|---|
| Implement this skillaiblueprinthq/ai-blueprint | 458 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Monitor CInrwl/nx | 29k | 5 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Terraform and OpenTofu Guideagentscope-ai/QwenPaw | 35k | 6 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Analyze GitHub Action Logswithastro/astro | 63k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Docs Learn PR Previewnetdata/netdata | 81k | — | ~2k | Automated safety check: Pass | GPL-3.0 |
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
withastro/astro
Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.
netdata/netdata
Use only when the user explicitly asks to build, run, preview, inspect, or validate learn.netdata.cloud locally using the contents of a PR or documentation branch before merge.
netdata/netdata
Inspect Netdata-org source checkouts under NETDATAREPOSDIR, or set up and synchronize that mirror when requested.
aiblueprinthq/ai-blueprint
Adopt Blueprint into an existing brownfield codebase by surveying shipped behavior and generating plans, standards, commands, adapter choices, and visibility setup.
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.
Categories
Start coding or resume the approved current feature, fix, or rollback on its branch, testing each step and presenting review. Implement is an agent skill from aiblueprinthq/ai-blueprint. Start coding or resume the approved current feature, fix, or rollback on its branch, testing each step and presenting review.
Implement fits situations like: building current-feature.md.
Run `npx skills add aiblueprinthq/ai-blueprint --skill implement -a claude-code`. Or copy the skill folder (.agents/skills/implement in aiblueprinthq/ai-blueprint) into .claude/skills/implement in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aiblueprinthq/ai-blueprint --skill implement -a codex`. Or copy the skill folder (.agents/skills/implement in aiblueprinthq/ai-blueprint) into .agents/skills/implement 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 implement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implement, .gemini/skills/implement, .github/skills/implement and .opencode/skills/implement in your project.
SKILL.md names no scripts, command-line tools or credentials: Implement is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Implement 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 Implement: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k 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 458 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 5, 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.