Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Post-PR revision phase of the loop pipeline for lago-front. An agent skill from getlago/lago-front.
$ npx skills add getlago/lago-front --skill loop-revise -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install getlago/lago-front loop-revise --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/getlago/lago-front.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/loop-revise .claude/skills/loop-revise && 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 "loop-revise" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/loop-revise into .claude/skills/loop-revise/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-revise", 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/getlago/lago-front/tree/main/.agents/skills/loop-reviseType 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 getlago/lago-front --skill loop-revise -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install getlago/lago-front loop-revise --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/loop-revise .agents/skills/loop-revise && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "loop-revise" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/loop-revise into .agents/skills/loop-revise/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-revise", 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 getlago/lago-front --skill loop-revise -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install getlago/lago-front loop-revise --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/loop-revise .cursor/skills/loop-revise && 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 "loop-revise" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/loop-revise into .cursor/skills/loop-revise/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-revise", 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/getlago/lago-front.git --path .agents/skills/loop-revise--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 getlago/lago-front --skill loop-revise -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install getlago/lago-front loop-revise --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/loop-revise .gemini/skills/loop-revise && 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 "loop-revise" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/loop-revise into .gemini/skills/loop-revise/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-revise", 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 getlago/lago-front loop-reviseInstalls 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 getlago/lago-front --skill loop-revise -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/loop-revise .github/skills/loop-revise && 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 "loop-revise" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/loop-revise into .github/skills/loop-revise/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-revise", 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 getlago/lago-front --skill loop-revise -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install getlago/lago-front loop-revise --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/loop-revise .opencode/skills/loop-revise && 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 "loop-revise" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/loop-revise into .opencode/skills/loop-revise/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "loop-revise", 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.
loop-revisePost-PR revision phase of the loop pipeline for lago-front. An agent skill from getlago/lago-front.
Loop Revise is an agent skill from getlago/lago-front. Post-PR revision phase of the loop pipeline for lago-front. Takes an ISSUE-ID (or nothing, when run inside the checkout that owns the PR) and feedback, applies ONLY the requested changes in the worktree recorded in state.md — a lago-worktree worktree or, in the in-place layout, the current checkout — re-runs gates, commits, pushes, and watches CI. Use when user says "/loop-revise <ISSUE-ID <feedback", or asks to change something in a PR the loop opened.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Git worktrees. The repository describes itself as: Open Source Metering and Usage Based Billing. The licence is AGPL-3.0.
10 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d4cb9fe. 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:
ghpnpmgitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, pnpm and 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.
Loop Revise loads about 2.5k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 1,278 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 getlago/lago-front at commit d4cb9fe, republished under its AGPL-3.0 licence (© getlago). 1,278 words, ~2,498 tokens.
.claude/skills/loop-revise/SKILL.md (or your agent's skills folder).Input: a task reference + feedback. The reference can be ANY of:
<TEAM>-<N>) — direct key of the state dir;4065 / #4065) or PR URL — resolve it: gh pr view <n> --json headRefName → branch → the $LOOP_STATE_DIR/*/state.md whose branch: matches → that dir's ISSUE-ID;in-place layout): resolve from git rev-parse --abbrev-ref HEAD → the state dir whose branch: matches.Layout: read layout: from state.md (worktree | in-place, written by loop-build; missing key = worktree). Scripts live in <worktree>/scripts in in-place and in front/scripts in the worktree layout; $SCRIPTS below means whichever applies.
State dir: $LOOP_STATE_DIR/<ISSUE-ID>/ (default ~/.claude/loop-state/<ISSUE-ID>/).
Resolution fails (no matching state dir) → STOP: this PR was not produced by the loop; say so. Feedback comes in two forms, both handled:
gh api repos/getlago/lago-front/pulls/<PR>/comments # review comments (inline)
gh pr view <PR> --json comments,reviews # issue comments and review verdictsgh api user --jq .login) and unchanged, already-answered feedback. Every comment raising a finding, technical question or requested change from a human or bot requires evaluation and a reply, including SonarQube findings and false positives. Never comment merely to announce or acknowledge green CI or SonarQube results; success/status reports without findings require no reply. Praise, approvals and courtesy-only messages without findings or change requests receive no written reply, at most an optional thumbs-up reaction. Evaluate concrete findings even when the overall gate is green.No free-text feedback given → default to unanswered substantive feedback, including HOLD verdicts and SonarQube findings. None present → report "nothing to revise" to the operator and stop without a PR comment.
Preconditions: state.md exists in the state dir and the PR for <ISSUE-ID> is OPEN (gh pr view <branch> --json state). PR MERGED or CLOSED → STOP: nothing to revise, suggest a new ticket instead.
Record the feedback: append it to feedback.md in the state dir with a timestamp header (keep prior rounds).
Evaluate the feedback CRITICALLY — before touching any code. You are a senior peer, not an executor. Check each point against: the spec's acceptance criteria and ## Ticket, plan.md, the design system, .agents/docs/frontend-coding-styleguide.md, and the actual code. Then classify it:
Apply — ONLY the agreed points, in the worktree: path from state.md (the cwd itself in in-place):
translations/base.json labels, no dead keys, no dead code, no comment that answers the reviewer. A new file or export goes into plan.md ## Deviations with its reason.Gates (in that same path, all must pass): pnpm lint, pnpm types, pnpm translations:inspect, pnpm translations:ensure-consistency, "$SCRIPTS/diff-hygiene.sh" origin/main <worktree> <state dir>/plan.md (a comment the revision keeps goes into plan.md ## Comments kept with its category, or goes). If the change touched testable logic: re-invoke the make-tests skill on the affected paths, then scoped jest on those paths only. NEVER the full suite.
Restart the app: "$SCRIPTS/loop-restart.sh" <state dir>/state.md (no container → warning, never a blocker).
Commit and push on the existing branch:
fix(<context>): address review feedback
## Description
<bullet list: each feedback point → what changed>
<!-- Linear link -->
Refs <ISSUE-ID>Then git push — the open PR updates itself.
CI gate: gh pr checks <PR> --watch. Red → same recovery as loop-run, INCLUDING its pre-budget triage of special cases (codegen companion PR, code-scanning re-fingerprint, inherited base red); neither applies → "$SCRIPTS/iter-budget.sh" <ISSUE-ID> ci-revise (exit 1 = exhausted → STOP path), then "$SCRIPTS/loop-ci-log.sh" <ISSUE-ID> <run-id> <N>, write the distilled ci-failure.md, fix, recommit. On STOP: impediment.md + "$SCRIPTS/loop-notify.sh" exactly as loop-run's exit notification.
ALWAYS reply to every finding, technical question, requested change or HOLD, applied or not, regardless of whether a human or bot (including SonarQube) authored it. One or two concise sentences in English, no AI attribution. No written replies to success/status reports, praise, approvals or courtesy-only messages without findings or change requests; at most an optional thumbs-up reaction. Never post a green-CI/SonarQube acknowledgement or a duplicate answer to unchanged feedback:
Fixed in <short-sha>: <brief change>.No change: <one-line technical reason based on the current code>.Requires separate work: <brief scope reason>. Report the follow-up to the operator; do not present the HOLD or failing gate as resolved.gh api repos/getlago/lago-front/pulls/<PR>/comments/<comment-id>/replies -f body='...'. Issue-level: gh pr comment <PR> --body '...'.Journal & flywheel — SILENT bookkeeping, before the report:
"$SCRIPTS/loop-journal.sh" <ISSUE-ID> "<N> points" <ci-revise N/3> "<gates red, or none>" <outcome> "<fail-checks or none>" "<one short phrase>". <N> points = feedback points applied. <outcome> is the way this revision actually ended: revised (pushed, CI green), stopped-ci (budget exhausted), or needs-operator-adjudication. fail-checks: for each external comment that was a real defect, the loop-review check that should have caught it (review#1 … review#7, or none-covers when no check addresses that defect class) — this is how the flywheel learns which checks miss what colleagues catch._flywheel.md under the SAME governance as loop-run: a proposal only when a better instruction would have prevented the defect and you can name a second, different plausible occurrence; written as a script or lint rule if it can be one; a new check only naming the check it replaces; no ticket ID in the rule. Both conditions met → append the dated target / evidence / proposed edit block. Proposals ONLY: never edit skill files, never ping the operator. One condition → append nothing.Report: what changed per feedback point, replies posted, commit SHA, CI status. NO new #frontend post — the PR was already announced.
in-place never $CONDUCTOR_ROOT_PATH, another workspace, or a branch rename.© getlago, AGPL-3.0. 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/loop-revise of getlago/lago-front.
Open the folder on GitHubat commit d4cb9fe
Loop Revise 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 |
|---|---|---|---|---|---|---|
| Loop Revise this skillgetlago/lago-front | 163 | — | ~2.5k | Automated safety check: Pass | AGPL-3.0 | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 42k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| Finishing A Development Branchfarm-fe/farm | 5.6k | 34 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Git Worktree Cleanuplobehub/lobehub | 83k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Keep Codex Fastvibeforge1111/keep-codex-fast | 1.6k | — | ~3.1k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
tinyhumansai/openhuman
Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.
farm-fe/farm
A skill your agent uses when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for…
lobehub/lobehub
Audits stale Git worktrees and branches with a bundled script, classifies each one, and deletes only after you approve the exact candidates.
vibeforge1111/keep-codex-fast
A skill your agent uses when Codex feels slow or bloated, when local sessions/logs/worktrees/config have grown over time, or when a user wants safe maintenance for Codex Desktop/CLI state.
jamiepine/voicebox
Sorts a backlog of open pull requests into must-merge, candidate, superseded and deferred, writes a triage doc and works the merge loop before a release.
getlago/lago-front
A skill your agent uses when asked to babysit, monitor, shepherd, or keep working on a GitHub pull request until it is green, review-ready, approved, mergeable, or ready to merge.
getlago/lago-front
Triage a CVE / Dependabot alert in a JS/TS project and recommend the least-invasive fix.
getlago/lago-front
Extract a Formik form section into a TanStack Form drawer with Zod validation, following the plan form migration pattern.
getlago/lago-front
Phase 2 of the loop pipeline for lago-front. An agent skill from getlago/lago-front.
getlago/lago-front
Cleanup phase of the loop pipeline for lago-front, for the worktree layout only.
getlago/lago-front
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production…
Categories
Post-PR revision phase of the loop pipeline for lago-front. An agent skill from getlago/lago-front. Loop Revise is an agent skill from getlago/lago-front. Post-PR revision phase of the loop pipeline for lago-front.
Loop Revise fits situations like: user says /loop-revise <ISSUE-ID <feedback; asks to change something in a PR the loop opened.
Run `npx skills add getlago/lago-front --skill loop-revise -a claude-code`. Or copy the skill folder (.agents/skills/loop-revise in getlago/lago-front) into .claude/skills/loop-revise in your project. Claude Code loads it when a task matches its description.
Run `npx skills add getlago/lago-front --skill loop-revise -a codex`. Or copy the skill folder (.agents/skills/loop-revise in getlago/lago-front) into .agents/skills/loop-revise 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 getlago/lago-front --skill loop-revise -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/loop-revise, .gemini/skills/loop-revise, .github/skills/loop-revise and .opencode/skills/loop-revise in your project.
Going by SKILL.md and its folder, Loop Revise needs the command-line tools its instructions call (gh, pnpm and git).
SKILL.md contains no URLs. Its commands use gh and 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.
Loop Revise is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k 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 Loop Revise: Finishing a Development Branch (obra/superpowers, 296k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars), Finishing A Development Branch (farm-fe/farm, 5.6k stars) and Git Worktree Cleanup (lobehub/lobehub, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
getlago (a GitHub organization) maintains it in getlago/lago-front, which has 163 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.
Source: getlago/lago-front on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.