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.
Maximize information density: preserve all instructions, remove prose filler.
Install Condense
$ npx skills add notque/vexjoy-agent --skill condense -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notque/vexjoy-agent condense --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/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/code-quality/condense .claude/skills/condense && 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 "condense" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/code-quality/condense into .claude/skills/condense/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "condense", 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/notque/vexjoy-agent/tree/main/skills/code-quality/condenseType 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 notque/vexjoy-agent --skill condense -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notque/vexjoy-agent condense --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/code-quality/condense .agents/skills/condense && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "condense" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/code-quality/condense into .agents/skills/condense/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "condense", 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 notque/vexjoy-agent --skill condense -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notque/vexjoy-agent condense --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/code-quality/condense .cursor/skills/condense && 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 "condense" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/code-quality/condense into .cursor/skills/condense/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "condense", 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/notque/vexjoy-agent.git --path skills/code-quality/condense--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 notque/vexjoy-agent --skill condense -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notque/vexjoy-agent condense --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/code-quality/condense .gemini/skills/condense && 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 "condense" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/code-quality/condense into .gemini/skills/condense/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "condense", 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 notque/vexjoy-agent condenseInstalls 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 notque/vexjoy-agent --skill condense -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/code-quality/condense .github/skills/condense && 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 "condense" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/code-quality/condense into .github/skills/condense/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "condense", 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 notque/vexjoy-agent --skill condense -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notque/vexjoy-agent condense --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/code-quality/condense .opencode/skills/condense && 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 "condense" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/code-quality/condense into .opencode/skills/condense/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "condense", 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
condense- GitHub stars
- 435
- Token cost
- ~929 tokens
- SKILL.md length
- 401 words
- Files
- 1
- Skills in repo
- 61
- Repo updated
- First seen
- Licence
- MIT
At a glance
Maximize information density: preserve all instructions, remove prose filler.
- Works in 3 steps: SCOPE → CONDENSE → VERIFY
- Development work in your project
- SKILL.md covers Phase 1: SCOPE, Phase 2: CONDENSE, Phase 3: VERIFY and Error Handling
- Calls python3
What it does
Condense is an agent skill from notque/vexjoy-agent. Maximize information density: preserve all instructions, remove prose filler.
Its SKILL.md is about 930 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: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.
When your agent uses it
- Development work in your project
Example prompts
- “/condense”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Edit, Write, Bash, Grep, Glob
Workflow steps
3 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 5218674. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadEditWriteBashGrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3
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
Condense loads about 929 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 401 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Edit, Write, Bash, Grep, Glob
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 notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 401 words, ~929 tokens.
Download SKILL.mdSave it as
.claude/skills/condense/SKILL.md (or your agent's skills folder).- name
- condense
- description
- Maximize information density: preserve all instructions, remove prose filler.
- allowed-tools
- Read, Edit, Write, Bash, Grep, Glob
- user-invocable
- true
- argument-hint
- <file-or-glob>
- routing.triggers
- condense, reduce words, clarity pass, information density, remove prose, tighten, fewer words
- routing.pairs_with
- toolkit
- routing.complexity
- Simple
- routing.category
- code-quality
Condense
Strip prose filler from .md files. Preserve every instruction. This skill practices what it preaches.
Phase 1: SCOPE
Identify targets.
- Single file: User names a path. Read it.
- Glob: User gives a pattern (
agents/*.md). Expand, list matches, confirm with user. - Batch (10+ files): Dispatch parallel agents, one per file.
Mechanical pre-pass (deterministic, run before LLM condensing): strip trailing whitespace and consecutive blank lines that inflate Opus token counts. The script handles the mechanical reduction so the LLM phase focuses on prose density.
python3 scripts/check-whitespace.py --fix <target-file-or-dir> # 0=clean, 1=violations fixedRun on the scoped targets (defaults to agents/**/*.md and skills/**/*.md when no path given). Then proceed to the LLM pass on the same files.
Gate: At least one target file identified and readable; mechanical pre-pass run.
Phase 2: CONDENSE
For each file:
- Read the full file. Record word count.
- Rewrite in place applying the rules below.
- Record new word count.
Rules
KEEP (never cut):
- Every instruction, rule, gate, phase, step
- Tables, code blocks, commands, paths
- YAML frontmatter (do not alter)
- Structure: headers, numbered lists, phase ordering
- Technical terms naming specific things
- Reference loading tables
- Error handling sections
- Non-obvious "because X" reasoning
CUT:
- Redundant restatements of the same rule
- "Because X" on obvious rules
- Motivational framing ("this will help you", "it is important to note")
- Filler phrases: "in order to", "it should be noted that", "it is worth mentioning"
- Examples that repeat what the phase already says
- Paragraphs saying the same thing from different angles -- merge to one
STYLE: Short sentences. Active voice. Concrete words. If you can cut a word without losing an instruction, cut it.
Show full SKILL.md (142 more words)Show less
DELETE TEST
Before cutting any sentence: "If I remove this, does the reader lose an instruction, rule, or decision?" No = cut. Yes = keep.
Boundaries
Do not reorganize sections, change meaning, add ideas, alter paths/commands, drop tables or code blocks, or modify YAML frontmatter values.
Phase 3: VERIFY
For each condensed file:
- YAML check: Confirm frontmatter parses.
bash python3 -c "import yaml; yaml.safe_load(open('<file>').read().split('---')[1])" - Report: Show
| File | Before | After | Reduction |table with word counts. - Instruction check: Grep original for key terms (phase names, gate names, commands). Confirm each appears in condensed version. If any missing, restore from original.
Gate: YAML parses. No instructions lost. Reduction reported.
Error Handling
No prose to cut: Report 0% reduction, move to next file.
Instruction removed: Re-read original, restore missing instruction, re-verify.
YAML broken: Restore original frontmatter verbatim, re-condense body only.
Non-.md file: Skip with warning.
© notque, 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/code-quality/condense of notque/vexjoy-agent.
Open the folder on GitHubat commit 5218674
Compare with similar skills
Condense 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 |
|---|---|---|---|---|---|---|
| Condense this skillnotque/vexjoy-agent | 435 | — | ~929 | Automated safety check: Notes | MIT | |
| 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 |
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rolling-scopes/rsschool-app
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PR Babysitter
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Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Code Review Checklist
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Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Greploop
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.
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akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
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Categories
Questions about Condense
What does Condense do?
Maximize information density: preserve all instructions, remove prose filler. Condense is an agent skill from notque/vexjoy-agent. Maximize information density: preserve all instructions, remove prose filler.
When should I use Condense?
Condense fits situations like: development work in your project.
How do I install Condense in Claude Code?
Run `npx skills add notque/vexjoy-agent --skill condense -a claude-code`. Or copy the skill folder (skills/code-quality/condense in notque/vexjoy-agent) into .claude/skills/condense in your project. Claude Code loads it when a task matches its description.
How do I install Condense in Codex?
Run `npx skills add notque/vexjoy-agent --skill condense -a codex`. Or copy the skill folder (skills/code-quality/condense in notque/vexjoy-agent) into .agents/skills/condense in your project. Codex loads it when a task matches its description.
Can I use Condense 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 notque/vexjoy-agent --skill condense -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/condense, .gemini/skills/condense, .github/skills/condense and .opencode/skills/condense in your project.
What does Condense need to run?
Going by SKILL.md and its folder, Condense needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Edit, Write, Bash, Grep, Glob.
Does Condense 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 Condense safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Condense use?
Condense 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 Condense use?
About 929 tokens (SKILL.md is roughly 3.7k 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 Condense?
Skills that share tags, products or a category with Condense: 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.
Who maintains Condense?
notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 435 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.
Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.