plan
Skill1 starsChanged 23 days agoApache-2.0View on GitHub
Use when the user asks to plan a task or feature before implementing, create a workspace, write a design doc or ADR, break work into sessions and tasks for autopilot, resume an active workspace, or integrate workspace artifacts into docs.
184 other projects use a version of this.
Adopted by
Most recently taken up by
- phuthuycoding/kanban-flowtheir own version, first seen Nov 8, 2026
- PeanutGT/NutsSkillstheir own version, first seen Nov 8, 2026
- domengabrovsek/agent-configtheir own version, first seen Nov 8, 2026
- domengabrovsek/claudetheir own version, first seen Nov 8, 2026
- codewithmukesh/dotnet-claude-kittheir own version, first seen Nov 8, 2026
- joeldevz/skynex-pitheir own version, first seen Nov 8, 2026
Used with
Projects with it also use heartmula, webhook-subscriptions and 10 more.
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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.
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gaebalaiSkillcodex-system
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- +3 more from math-inc
Other versions184 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 184
- Yeachan-Heo/oh-my-codex★ 34ksame name
- crbnos/carbon★ 2.8ksame name
- graphistry/pygraphistry★ 2.6ksame name
- zereight/gitlab-mcp★ 2.1ksame name
- math-inc/OpenGauss★ 1.3ksame name
- kdlbs/kandev★ 1.1ksame name
- suboss87/FDEOps★ 940same name
- codewithmukesh/dotnet-claude-kit★ 808same name
- witnesstodark/mr-mak-workspace★ 718same name
- loongclaw-ai/loongclaw★ 640same name
174 more not listed
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 repository11 other files it gives its agents.
- bias-analysisSkill
- c4-graphSkill
- code-reviewSkill
- create-grafana-dashboardsSkill
- debugSkill
- evidence-based-analysisSkill
- git-conventionsSkill
- retroSkill
- skillSkill
- software-engineerSkill
- tddSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 167 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 43
Delegated and one-shot contexts: decide, do not ask: When the requester has delegated ("your call", "decide and continue") or cannot answer …
- Distinctive: line 50
A task is a behaviour, not a layer: Every task is one slice: one behaviour across every layer it touches (Hunt and Thomas, *The Pragmatic …
- Distinctive: line 59
The machine layer never disappears, it shrinks: Every plan ends with resumable state on disk: the full TASKS.md checklist on the complex …
“Common” is measured: kept by at least 6 in 10 of the 167 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
Plan
When to use
- User enters plan mode or asks to plan before implementing
- User asks to create a workspace, design doc, ADR, or task breakdown
- User asks to resume, review, or amend an existing design or workspace
- User asks to integrate workspace artifacts into durable storage
Overview
Planning must always take less time than implementation. The effort scales with complexity, never the other way around. This file holds the triage: assess the complexity, then load exactly one route file. Never load both.
Complexity triage
Assess the work against three triggers, in order:
- Resuming? Root
CLAUDE.mdhas an## Active workspacesentry → load complex-plan.md and follow its Phase 0. - Multi-session scope? More than one session of work, more than ~5 tasks, or a domain model worth tracing → full workspace: load complex-plan.md.
- Hard-to-reverse decision? Persistence, protocol, public contract → that decision gets an ADR whatever the route; the route still follows trigger 2. On the small route an additive flag, a CLI option, or an output shape is a decision bullet, not an ADR. The small route writes an ADR only for persistence or a wire protocol, the small route's shortcut. Both pass the admission test in complex-plan.md.
None of the above → small plan: load small-plan.md and produce one document. Heavy scaffolding on a small task reads as noise to the human and costs tokens without adding decisions.
The complex route reads autopilot.md at Phase 5 and drafts from templates/.
Rules for both routes
Delegated and one-shot contexts: decide, do not ask. When the requester has delegated ("your call", "decide and continue") or cannot answer (headless run, batch job), make the decision, record it with its reason, and continue. Ask only when blocked by a genuine externality the codebase and brief cannot resolve (a credential, an unstated business rule). Ratification questions in a delegated context burn turns without adding information.
A task is a behaviour, not a layer. Every task is one slice: one behaviour across
every layer it touches (Hunt and Thomas, The Pragmatic Programmer, "Tracer Bullets").
The first task is the walking skeleton: the thinnest path through the public surface,
end to end. Every later task widens it by one behaviour. Build layer by layer only when
nothing can run before the whole exists. Four cases: a protocol wrong until complete, a
cutover with no dual path, no partial delivery, a hardware bring-up. Then the task says
Slice: whole — <reason> and a reviewer may contest the reason. The Slice values and
their sequence live in complex-plan.md.
The machine layer never disappears, it shrinks. Every plan ends with resumable state on disk: the full TASKS.md checklist on the complex route, the minimal task section on the small route. A plan an agent cannot resume from is a chat message, not a plan.
Driving an implementation: the tdd red run is a gate, not a
suggestion — implementation starts after the failing run is captured, and the final
report quotes it.
One task at a time, closed by its commit. Take the first unchecked task. Write its
test, capture the red run, make it green, tick its box, commit it. Only then open the
next task. Never write every test first, never tick boxes in a batch at the end. The
commit is part of the task, in every context: a headless or delegated run commits
without asking, and the final report lists one commit per task. Message and staging
rules live in git-conventions. Each task's
implementation covers its own test only (tdd rule 5), so the
next task goes red. When a test still passes on its first run, the previous slice
overshot: fold that test into the previous task's commit, tick the task, and name
the overshoot in the report. Never commit a tests-only slice.
Boundaries
Claude Code's built-in plan mode covers interactive approval of an immediate change;
once a plan should persist to disk, this skill owns it at either scale. Implementation
methodology belongs to software-engineer and
tdd; commits to git-conventions.
Commands follow the shell rules in software-engineer.
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
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- 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.

