plan-tasks
Skill0 starsChanged 18 days agoApache-2.0View on GitHub
Turn an approved spec into a phased, dependency-ordered task list where every task fits one fresh-context session and has its own exit check. Discovers the existing surface first and classifies the change. Use after a spec is approved and before implementation.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- Zaheer-verse/deliberate-dev-claudetheir own version, first seen Oct 15, 2026
- jayden-dang/skillstheir own version, first seen Aug 29, 2026
- oopsla5xx/oops-skillstheir own version, first seen Aug 2, 2026
- Codagent-AI/agent-skillstheir own version, first seen Apr 25, 2026
- zahardev/aicontexttheir own version, first seen Apr 22, 2026
Other versions5 projects use a version of this.
Word for word · 0
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Edited · 0
None found.
Wrote their own version · 5
- Codagent-AI/agent-skills★ 31same name
- oopsla5xx/oops-skills★ 4same name
- zahardev/aicontext★ 2same name
- jayden-dang/skills★ 1same name
- Zaheer-verse/deliberate-dev-claude★ 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.
In this repository15 other files it gives its agents.
- ai-exchangeSkill
- cleanupSkill
- design-reviewSkill
- evidence-rulesSkill
- gradeSkill
- live-ai-checkSkill
- mine-skillsSkill
- open-prSkill
- parallel-workSkill
- releaseSkill
- review-changeSkill
- ship-changeSkill
- skill-evalSkill
- test-necessitySkill
- write-specSkill
The file
Files
Plan the work
1. Classify the change
| Class | Means |
| UI-only | presentation, no new data or API |
| Module | contained in one package or module |
| Cross-cutting | a shared seam (auth, persistence, config, events) |
| Interface | a public API, wire format, schema or CLI contract other parties depend on |
An Interface change needs the contract settled and reviewed before the code depends on it.
2. Discover before you plan
List the files, modules and tests each task will touch, by searching the repo, not from memory. If a task can't name its files, it isn't ready.
3. Write tasks
Each task:
T3 — <imperative title>
Depends on: T1
Files: src/a.ts, src/a.test.ts
Test first: <the failing test that defines done>
Exit check: `<command that exits 0 when the task is done>` ← in backticks
Size: S (≤ 1 h) | M (≤ ½ day) ← anything larger gets splitRules:
- The exit check is a command in backticks, exactly
Exit check: \<command>`.hyvemind runexecutes the first backticked span, and its exit code is the only thing that marks the task done. Prose such as "tests pass", ornpm test` without backticks, is not a check. A check must fail before the task is implemented. - One fresh-context session per task. A subagent given only the spec, this task and its files should be able to finish it. If it can't, split the task.
- Order by dependency, then by risk. The riskiest unknown goes first, while it is still cheap to change course.
- Independently shippable phases. Group tasks into phases that can each merge on their own, ideally behind a flag.
- Include the unglamorous tasks: migrations, docs, config, cleanup of anything the change orphans.
- Name tasks that can run in parallel (no shared files), and the worktrees for them
(
{{skill:parallel-work}}).
4. Run it
This format is machine-readable. {{cli}} run plan.md --spec spec.md gives each task
to a fresh agent in its own worktree, accepts it only when its exit check exits 0
(with one repair attempt that is told the failure), has an independent reviewer
say GO, and commits one task per commit. Re-running resumes after the last
committed task.
5. Output
The task list, a short dependency diagram if it helps, and the list of exit checks the reviewer will run. Save it next to the spec or in the PR description draft.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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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.

