clone
Skill1 starsChanged 6 months agoMITView on GitHub
Orchestrates opencouncil. Receives the task, asks the user for intensity (light, medium, heavy), picks the relevant employees, convenes the board, returns the approved output with a one-line summary of what changed.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- Stijnus/dsh-rev-engtheir own version, first seen Nov 8, 2026
- daveebbelaar/bawatheir own version, first seen Nov 8, 2026
- deepaktechk/penpot-agenttheir own version, first seen Nov 1, 2026
- yowpi-tech/unbubbletheir own version, first seen Nov 1, 2026
- daveebbelaar/bamatheir own version, first seen Nov 1, 2026
- thenavidm/remastertheir own version, first seen Oct 20, 2026
Used with
Projects with it also use app-brief, design-from-app and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
StijnusSkillapp-brief
One-page brief (docs/BRIEF.md) for a new macOS app, written before any code. Use when the user has an app idea, wants to replace an app they pay for, or the research and clone skills are done.
Also in 3 projects that use this
StijnusSkilldesign-from-app
Rebuild the look of an app the user likes as a native SwiftUI design kit, by measuring its screenshots (sizes, spacing, type, colors, icons), building its parts, and comparing pixel by pixel until they match. Use when the user names an app whose look they want, shares screenshots of one, or says "make it look like X".
Also in 3 projects that use this
launchapp-devSkilllayout-grid
Define responsive layout grid systems with columns, gutters, margins, and breakpoint behavior.
Also in 3 projects that use this
MohamedAbdallah-14Skillapp-icon
Generate an app icon from a single 1024² master and fan out to iOS (AppIcon.appiconset with squircle-ready 1024 opaque), Android (adaptive foreground + background + Android 13 monochrome), PWA (192/512 + 512 maskable with 80% safe zone), and visionOS (3-layer parallax).
Also in 3 projects that use this
timeplus-ioSkillbuild-and-verify
Build, compile, run server/client/cluster, execute unit/stateless/SQL tests, verify results, and troubleshoot build/test failures. Make sure to use this skill whenever the user mentions building, compiling, ninja, cmake, running tests, test failures, starting the server, or pre-commit checks, even if they just say 'it doesn't build' or 'the test broke'.
Also in 3 projects that use this
CrystalPlatformsSkillagent-cli
Design and audit CLIs that AI agents (Claude Code, Codex, automated pipelines) consume. Applies ten agent-native principles in two tiers — Tier 1 table stakes (non-interactive default, structured output, errors that enumerate, safe retries, bounded responses) and Tier 2 compounding (cross-CLI vocabulary, three-layer introspection, async-aware execution, persistent profiles, two-way I/O) — with a Blocker / Friction / Optimization severity rubric across six command classes (read, mutate, stream, bootstrap, async, config). Use when building, reviewing, or specifying a CLI for agent invocation, mentions argparse, click, cobra, clap, commander, yargs, oclif, thor, agent-friendly or agent-native CLI design, --json output, exit codes, idempotent commands, --wait flags, agent-context introspection, persistent profiles, --deliver routing, --force bypass, vocabulary consistency, or repos with cli.py, main.go, src/cli.rs, bin/<tool>. Skip general shell scripting and human-only TUIs.
Also in 3 projects that use this
- +1 more from Stijnus
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- daveebbelaar/bama★ 1.7ksame name
- spotify/ads-agentic-tools★ 20same name
- daveebbelaar/bawa★ 17same name
- yowpi-tech/unbubble★ 4same name
- Stijnus/dsh-rev-eng★ 1same name
- deepaktechk/penpot-agent★ 0same name
- thenavidm/remaster★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Ask one question: light / medium / heavy?
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Clone
Clone is the orchestrator. It is the only thing that talks to the user. The employees and the board run behind it.
When this fires
Any task the user gives. Clone is the entry point for every opencouncil run.
Flow
- Read the task.
- Ask one question:
light / medium / heavy?(see intake). This is asked every single time unless the user has previously typedremember <mode>oralways <mode>. Clone never auto-prompts the user to save a default. - Based on intensity:
- light: skip employees, send draft directly to a 5-member board for critique
- medium: pick 3 to 5 relevant employees from the team based on task keywords, convene them to draft, then hand to the 10-member board for review (1 revision loop if below 80% consensus)
- heavy: pull every relevant employee, convene a meeting where they debate the draft together, then hand to the full board (up to 3 revision loops)
- Hand approved output back to the user with one line:
board changed: <short summary>.
How clone picks employees
Clone reads the task and matches keywords to employee mandates. Examples:
| Task hint | Employees activated |
| linkedin post, twitter, social | Writer, Growth, Researcher |
| code, bug, fix, deploy | Engineer, PM |
| cover letter, CV, resume, interview | Career Agent, Writer |
| design, UI, landing page, mockup | Designer, Engineer, Writer |
| open source, launch, pricing | PM, CFO, Legal, Growth |
| video, reel, short | Video Editor, Writer, Growth |
| contract, terms, privacy, GDPR | Legal, CFO |
| financial model, projection, ROI | CFO, PM |
| article, blog, technical write | Writer, Researcher |
| research, competitor, market | Researcher, PM |
In medium mode clone trims to the top 3 to 5. In heavy mode every relevant employee attends.
Escalation rules
Clone stops and asks the user before returning if:
- The task touches anything irreversible: sending email, posting publicly, deploying to production, committing to a shared repo, signing a contract, spending money over a defined threshold.
- The board cannot reach 80% consensus after the maximum revision loops for the chosen mode.
- A hard-veto-eligible profile vetoes the output (see bod profiles).
- The output requires real-world action that needs human authorisation (regulatory filing, legal commitment, financial transaction).
Everything else, ship it.
Memory
Clone never auto-saves anything. The user has to explicitly type remember light, remember medium, remember heavy, or always heavy to set a default. Until that command runs, intake asks fresh on every task. The stored value (when set) lives in ~/.opencouncil/preferences.json and never leaves the machine.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

