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.
Read when running or activating a program: the CLI command map, the daemon (never yours to restart), running a command so it never asks and never sits quiet (with how long each normally takes), the…
$ npx skills add WeaveMindAI/weft --skill weft-running -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WeaveMindAI/weft weft-running --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/WeaveMindAI/weft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-running .claude/skills/weft-running && 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 "weft-running" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-running into .claude/skills/weft-running/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-running", 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/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-runningType 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 WeaveMindAI/weft --skill weft-running -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WeaveMindAI/weft weft-running --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-running .agents/skills/weft-running && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weft-running" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-running into .agents/skills/weft-running/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-running", 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 WeaveMindAI/weft --skill weft-running -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WeaveMindAI/weft weft-running --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-running .cursor/skills/weft-running && 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 "weft-running" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-running into .cursor/skills/weft-running/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-running", 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/WeaveMindAI/weft.git --path tangle/cline/.cline/skills/weft-running--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 WeaveMindAI/weft --skill weft-running -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WeaveMindAI/weft weft-running --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-running .gemini/skills/weft-running && 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 "weft-running" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-running into .gemini/skills/weft-running/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-running", 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 WeaveMindAI/weft weft-runningInstalls 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 WeaveMindAI/weft --skill weft-running -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .github/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-running .github/skills/weft-running && 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 "weft-running" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-running into .github/skills/weft-running/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-running", 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 WeaveMindAI/weft --skill weft-running -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WeaveMindAI/weft weft-running --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-running .opencode/skills/weft-running && 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 "weft-running" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-running into .opencode/skills/weft-running/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-running", 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.
weft-runningRead when running or activating a program: the CLI command map, the daemon (never yours to restart), running a command so it never asks and never sits quiet (with how long each normally takes), the…
Weft Running is an agent skill from WeaveMindAI/weft. Read when running or activating a program: the CLI command map, the daemon (never yours to restart), running a command so it never asks and never sits quiet (with how long each normally takes), the build and run flow, trigger activation and the three deactivate modes, the infra lifecycle, and what each kind of trigger does across a restart. A run that failed or did the wrong thing is the weft-debugging skill.
Its SKILL.md is about 7.7k 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. The repository describes itself as: A programming language for AI orchestrations.
Read from SKILL.md and the folder at commit 6e28f31. 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:
curlpnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use curl and pnpm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DATABASE_PASSWORDFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Weft Running loads about 7.7k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 4,975 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 noted patterns worth knowing about, such as sudo or a known installer.
d keys before, so you never run them. A `.env`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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 4,975 words (~7,743 tokens).
“The weft CLI is a thin client of [the daemon] plus the front end for building. [the daemon] is the dispatcher process that owns projects, executions, triggers, and infra. It listens on http://127.0.0.1:14111 unless the user started it on another…”
Just SKILL.md in tangle/cline/.cline/skills/weft-running of WeaveMindAI/weft.
Open the folder on GitHubat commit 6e28f31
Weft Running 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 |
|---|---|---|---|---|---|---|
| Weft Running this skillWeaveMindAI/weft | 2k | — | ~7.7k | Automated safety check: Notes | Custom licence | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | 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.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
WeaveMindAI/weft
Read when the user wants weft itself on their Google Cloud for the first time, or to upgrade or resize the weft already there: getting the user's GitHub and Google Cloud accounts and CLIs ready, the…
WeaveMindAI/weft
Read when the user wants their own website, app, bot or extension to list, show, answer, skip or cancel what a program is waiting on, fetch a file it carries, or show what one of its nodes is…
WeaveMindAI/weft
Read when the user wants weft or a program live for real people on their cloud, asks about prod, a target, --on, a domain or GCP, or a deploy failed: targets and logging in, domains, the deploy…
WeaveMindAI/weft
Read when the user asks what a run costs, or when a node is wired to a paid API weft does not already price: the three pieces of a custom paid service, a meter to copy, and the rules that keep a…
WeaveMindAI/weft
Read when growing a program stage by stage: carving a run, supplying starting values, baking a trigger and firing it without activating, reusing completed work with a seed, freezing an accepted…
WeaveMindAI/weft
Read when the user wants a page, app or site for the program, and before dispatching the frontend-builder: the verified scaffold commands, the default stack (pnpm, SvelteKit, PostgreSQL, BetterAuth…
Categories
Read when running or activating a program: the CLI command map, the daemon (never yours to restart), running a command so it never asks and never sits quiet (with how long each normally takes), the…. Weft Running is an agent skill from WeaveMindAI/weft. Read when running or activating a program: the CLI command map, the daemon (never yours to restart), running a command so it never asks and never sits quiet (with how long each normally takes), the build and run flow, trigger activation and the three deactivate modes, the infra lifecycle, and what each kind of trigger does across a restart.
Weft Running fits situations like: activation and the three deactivate modes; the infra lifecycle; what each kind of trigger does across a restart.
Run `npx skills add WeaveMindAI/weft --skill weft-running -a claude-code`. Or copy the skill folder (tangle/cline/.cline/skills/weft-running in WeaveMindAI/weft) into .claude/skills/weft-running in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WeaveMindAI/weft --skill weft-running -a codex`. Or copy the skill folder (tangle/cline/.cline/skills/weft-running in WeaveMindAI/weft) into .agents/skills/weft-running 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 WeaveMindAI/weft --skill weft-running -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weft-running, .gemini/skills/weft-running, .github/skills/weft-running and .opencode/skills/weft-running in your project.
Going by SKILL.md and its folder, Weft Running needs the command-line tools its instructions call (curl and pnpm) and credentials named DATABASE_PASSWORD.
SKILL.md contains no URLs. Its commands use curl, 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 notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Weft Running has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 7.7k tokens (SKILL.md is roughly 31k 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 Weft Running: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
WeaveMindAI (a GitHub organization) maintains it in WeaveMindAI/weft, which has 1,994 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 6, 2026.
Source: WeaveMindAI/weft on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.