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.
A skill your agent uses when the user asks to reclaim project disk space or clean up leftovers — inventories worktrees, containers, dependencies, and processes, reclaiming only user-approved items…
Install Factory Clean
$ npx skills add tikalk/adlc-team-skills --skill factory-clean -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tikalk/adlc-team-skills factory-clean --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/tikalk/adlc-team-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/factory/factory-clean .claude/skills/factory-clean && 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 "factory-clean" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-clean into .claude/skills/factory-clean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-clean", 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/tikalk/adlc-team-skills/tree/main/skills/factory/factory-cleanType 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 tikalk/adlc-team-skills --skill factory-clean -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tikalk/adlc-team-skills factory-clean --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/factory/factory-clean .agents/skills/factory-clean && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "factory-clean" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-clean into .agents/skills/factory-clean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-clean", 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 tikalk/adlc-team-skills --skill factory-clean -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tikalk/adlc-team-skills factory-clean --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/factory/factory-clean .cursor/skills/factory-clean && 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 "factory-clean" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-clean into .cursor/skills/factory-clean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-clean", 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/tikalk/adlc-team-skills.git --path skills/factory/factory-clean--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 tikalk/adlc-team-skills --skill factory-clean -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tikalk/adlc-team-skills factory-clean --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/factory/factory-clean .gemini/skills/factory-clean && 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 "factory-clean" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-clean into .gemini/skills/factory-clean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-clean", 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 tikalk/adlc-team-skills factory-cleanInstalls 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 tikalk/adlc-team-skills --skill factory-clean -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/factory/factory-clean .github/skills/factory-clean && 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 "factory-clean" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-clean into .github/skills/factory-clean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-clean", 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 tikalk/adlc-team-skills --skill factory-clean -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tikalk/adlc-team-skills factory-clean --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/factory/factory-clean .opencode/skills/factory-clean && 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 "factory-clean" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-clean into .opencode/skills/factory-clean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-clean", 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.
Facts
- Skill name
factory-clean- GitHub stars
- 141
- Token cost
- ~1k tokens
- SKILL.md length
- 556 words
- Files
- 1
- Skills in repo
- 44
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user asks to reclaim project disk space or clean up leftovers — inventories worktrees, containers, dependencies, and processes, reclaiming only user-approved items…
- Works in 4 steps: Project Ingestion → Live-Work Classification → Inventory Scope → …
- The user asks to reclaim project disk space
- SKILL.md covers What this skill does, When to use and Operating Process
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Factory Clean is an agent skill from tikalk/adlc-team-skills. Use when the user asks to reclaim project disk space or clean up leftovers — inventories worktrees, containers, dependencies, and processes, reclaiming only user-approved items; read-only by default.
Its SKILL.md is about 1k 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: Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and… The licence is MIT.
When your agent uses it
- The user asks to reclaim project disk space
- Clean up leftovers — inventories worktrees
- Reclaiming only user-approved items
- Read-only by default
Example prompts
- “/factory-clean”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 2dbed36. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Factory Clean loads about 1k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 556 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from tikalk/adlc-team-skills at commit 2dbed36, republished under its MIT licence (© tikalk). 556 words, ~1,037 tokens.
Download SKILL.mdSave it as
.claude/skills/factory-clean/SKILL.md (or your agent's skills folder).- name
- factory-clean
- description
- Use when the user asks to reclaim project disk space or clean up leftovers — inventories worktrees, containers, dependencies, and processes, reclaiming only user-approved items; read-only by default.
factory-clean
What this skill does
factory-clean is the resource-reclamation engine of the software factory. It answers two questions and acts on the second: what is this project costing this machine right now, and what can be reclaimed without destroying work or interrupting an agent that is still running?
It operates as a Kind-B control-plane skill that reads the run registry, identifies active worktrees, and cleans up discarded/stale artifacts.
When to use
- After multiple parallel runs, to see which worktrees are safely removable and reclaim disk space.
- To clean up abandoned or stale locks and leases.
- To verify that no uncommitted or unpushed work is accidentally lost.
When NOT to use:
- For routine code development or PR review (use
factory-missionorfactory-review). - To force-delete unpushed git commits or uncommitted files (this skill never deletes unsafe work).
Operating Process
1. Project Ingestion
Determine the project in scope (defaulting to the current repository). Identify its state root, run registry, and worktree root (.adlc/worktrees/).
2. Live-Work Classification
Before displaying any candidate for deletion, read the local state file and the comment bus (if tracker-integrated, via comment bus and lease markers). Classify every resource into one of these five liveness states:
in use— owned by a run whose lease is live (heartbeat_ts + ttl_seconds > now), or a path held open by an active process. Protected. Never offer for deletion.holds work— a worktree with uncommitted changes or commits not on its remote, or a registry entry markedretained. Protected. Show exactly what it holds. Never delete.stale— registered, lease is past its TTL, nothing is unsaved, and no running process holds its path or has it as a working directory. Candidate for deletion.orphan— no registry entry exists, but canonical containment plus deterministic project, skill, and run ownership labels prove this skill family created it. Candidate for deletion.unknown— ownership or liveness cannot be determined. Protected. Display to the user but do not offer for deletion.
Note: Liveness classification is read from this skill family's own registry. Disclose in the report that other local processes or IDE checkouts are invisible and protected as unknown.
Show full SKILL.md (208 more words)Show less
3. Inventory Scope
Scan and measure the sizes/counts of:
- Skill Worktrees & Clones: worktrees under
.adlc/worktrees/, managed clones under.adlc/clones/. - Git Artifacts: stale worktree registrations, loose-object and pack sizes. (Local user branches and global git caches are ignored and protected).
- Project Dependency & Build Output: dependency directories (
node_modules,.venv), build and distribution output, coverage and test artifacts. - Skill State, Scratch, & Logs: per-run temporary directories, snapshots, and log files. (Saved identity mappings, project conventions, schemas, and configurations are always protected).
- Processes & Ports: dev servers, port-forwards, and background workers holding this project's ports or files.
4. Report and Approval
- Present the inventory grouped, each group sorted by reclaimable size, with a per-group and overall total. State clearly what is protected and why.
- Ask the user to select exact candidate identifiers within each group. Default to selecting nothing.
- Show the exact commands that will run.
- Re-verify liveness immediately before each deletion: if a run started or gained unsaved work since the inventory, skip it and report the conflict.
- Delete one item at a time, stopping at the first error rather than continuing through a broken assumption.
- Report what was reclaimed, what was skipped, and the actual space recovered (measured again, not assumed).
© tikalk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/factory/factory-clean of tikalk/adlc-team-skills.
Open the folder on GitHubat commit 2dbed36
Compare with similar skills
Factory Clean 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 |
|---|---|---|---|---|---|---|
| Factory Clean this skilltikalk/adlc-team-skills | 141 | — | ~1k | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 41k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| Finishing A Development Branchfarm-fe/farm | 5.6k | 33 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 |
Similar skills
Migrate Core Code to Submodules
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.
Finishing A Development Branch
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…
Git Worktree Cleanup
lobehub/lobehub
Audits stale Git worktrees and branches with a bundled script, classifies each one, and deletes only after you approve the exact candidates.
Keep Codex Fast
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.
Pre-Release PR Triage
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.
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Related
Categories
Questions about Factory Clean
What does Factory Clean do?
A skill your agent uses when the user asks to reclaim project disk space or clean up leftovers — inventories worktrees, containers, dependencies, and processes, reclaiming only user-approved items…. Factory Clean is an agent skill from tikalk/adlc-team-skills. Use when the user asks to reclaim project disk space or clean up leftovers — inventories worktrees, containers, dependencies, and processes, reclaiming only user-approved items; read-only by default.
When should I use Factory Clean?
Factory Clean fits situations like: the user asks to reclaim project disk space; clean up leftovers — inventories worktrees; reclaiming only user-approved items; read-only by default.
How do I install Factory Clean in Claude Code?
Run `npx skills add tikalk/adlc-team-skills --skill factory-clean -a claude-code`. Or copy the skill folder (skills/factory/factory-clean in tikalk/adlc-team-skills) into .claude/skills/factory-clean in your project. Claude Code loads it when a task matches its description.
How do I install Factory Clean in Codex?
Run `npx skills add tikalk/adlc-team-skills --skill factory-clean -a codex`. Or copy the skill folder (skills/factory/factory-clean in tikalk/adlc-team-skills) into .agents/skills/factory-clean in your project. Codex loads it when a task matches its description.
Can I use Factory Clean in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tikalk/adlc-team-skills --skill factory-clean -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/factory-clean, .gemini/skills/factory-clean, .github/skills/factory-clean and .opencode/skills/factory-clean in your project.
What does Factory Clean need to run?
SKILL.md names no scripts, command-line tools or credentials: Factory Clean is instructions for the agent only.
Does Factory Clean access the network?
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.
Is Factory Clean safe to install?
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.
What licence does Factory Clean use?
Factory Clean is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Factory Clean use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Factory Clean?
Skills that share tags, products or a category with Factory Clean: Finishing a Development Branch (obra/superpowers, 296k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 41k 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.
Who maintains Factory Clean?
tikalk (a GitHub organization) maintains it in tikalk/adlc-team-skills, which has 141 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.
Source: tikalk/adlc-team-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.