make-plan
Skill1 starsChanged 25 days agoMITView on GitHub
Research and write a self-contained implementation plan file
14 other projects use a version of this.
Adopted by
Most recently taken up by
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- nnguyenquangg/claude-code-spec-driven-developmenttheir own version, first seen Nov 2, 2026
- susantedit/claude-skillstheir own version, first seen Oct 20, 2026
- oivanfelipe/claude-skillstheir own version, first seen Oct 13, 2026
- Pablomg02/pamaga-agent-toolkittheir own version, first seen Oct 11, 2026
- pymc-labs/pymc-marketingtheir own version, first seen Oct 8, 2026
Used with
Projects with it also use oh-my-issues, what-the and 8 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.
tuliosalustiano27Skilloh-my-issues
Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that close clusters atomically. Use when an issue tracker has accumulated dozens of reports that share underlying defects, when asked to triage / consolidate / cluster / dedupe issues, when asked to build a plan series or roadmap from open issues, or when routing a new incoming bug into an existing plan.
Also in 3 projects that use this
tuliosalustiano27Skillwhat-the
What the? Use when the user wants a plain-English breakdown of something technical — the who, what, where, why, and when.
Also in 3 projects that use this
barrelcSkillmem-search
Search kimi-mneme's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", "what did we do yesterday?", or needs work from previous sessions.
Also in 5 projects that use this
thedotmackSkillpathfinder
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
Also in 4 projects that use this
dqtx760Skilltimeline-report
Generate a "Journey Into [Project]" narrative report analyzing a project's entire development history from claude-mem's timeline. Use when asked for a timeline report, project history analysis, development journey, or full project report.
Also in 3 projects that use this
tunnckoCoreSkillhow-it-works
Use for 'how does X work', code walkthroughs before changing something, and placement / ownership / layering questions ('where should this live', 'which package owns this', 'is this the right layer'). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation.
Also in 3 projects that use this
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- pymc-labs/pymc-marketing★ 1.3ksame name
- GiggleLiu/cryochamber★ 34same name
- nnguyenquangg/claude-code-spec-driven-development★ 22same name
- jorgeasaurus/agent-skills★ 14same name
- dqtx760/skills-manage★ 2same name
- gcapodeferro02/my-agent-skills★ 1same name
- kpblcaoo/agent-skills★ 1same name
- lucidfrontier45/agent-skills★ 1same name
- MMACABRE/SKILLS★ 1same name
- Pablomg02/pamaga-agent-toolkit★ 1same name
4 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 repository3 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/llms.txtllms.txt
- execute-planSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 3 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 37
If it is, stop. Do not research, do not delegate, do not write.
- Very specific: line 49
Read the project's own domain docs first where they exist: CONTEXT.md at the root for the vocabulary, and any docs/adr/ entries covering …
- Very specific: line 61
Do not use Explore, general-purpose, or any other search agent for this.
- Distinctive: line 76
Do not split what shares evidence.
- Very specific: line 120
Every phase: status checkbox, Risk: low | medium | high, suggested worker, objective, verified evidence, expected files and symbols, …
- Distinctive: line 125
Write behavioural requirements, not a list of edits.
- Very specific: line 134
Write the file to plans/<PlanName>.md, creating plans/ if it does not exist.
“Common” is measured: kept by at least 6 in 10 of the 14 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
You are the PLANNER. You write one file — the plan — and nothing else. No application code, no configuration, no tests, and no fixes to problems you notice along the way. Record those in the plan instead.
Arguments: $ARGUMENTS — a plan name followed by the problem to plan. If the problem is missing, ask. If only the problem is given, derive a name.
Preflight
State the model and the effort level you are running as. If the model is not Opus, say so — the tiering assumes an expensive planner, and the user may want to restart.
Say which model the session is on as well, where you can tell: this skill's
model: opus / effort: high pin applies to the current turn, and a research
delegation that returns as a background notification starts a new turn on the
session model at the session effort. Delegations return in the foreground only
when the session has CLAUDE_CODE_DISABLE_BACKGROUND_TASKS=1 set (see
Research); if the session is on a cheap model and that switch is missing, the
plan gets written by that model with nothing saying so.
Then check whether plan mode is active. Signs: a plan-mode system message, a
harness-supplied plan file path (typically under ~/.claude/plans/), a "Plan
Workflow" you did not ask for, or a fence naming one file as the only one you may
edit. The $ARGUMENTS plan name is not such a sign.
If it is, stop. Do not research, do not delegate, do not write. Say:
Plan mode is active, and its built-in workflow overrides this skill — it forces Explore-only research and confines writes to
~/.claude/plans/. Leave plan mode with Shift+Tab, then run/make-planagain.
This is not a formality. It has happened in practice: the plan landed outside the
repository and every research delegation went to Explore at planner rates.
/make-plan replaces plan mode; the two do not compose.
Research
Read the project's own domain docs first where they exist: CONTEXT.md at the
root for the vocabulary, and any docs/adr/ entries covering the area for
decisions already settled. Name concepts the way the glossary names them, and
say so explicitly where the plan contradicts an ADR. Where those files are
absent, continue without comment — they are a convention some skill packs
install, not a requirement of this workflow.
Delegate breadth-first search to the planning-researcher agent — locating
candidates, mapping conventions, finding the tests, disproving the obvious
hypotheses. Under a plugin install it appears as
plan-and-execute:planning-researcher; either name is the same agent.
Do not use Explore, general-purpose, or any other search agent for this.
They inherit the session model, so breadth-first grepping would run at planner
rates — which is the entire cost the researcher tier exists to avoid.
Scope the delegations to the work, not to a fixed number. One delegation per genuinely independent area; batch every question about an area into that one delegation. Areas are independent when neither one's answer changes where you would look for the other's — separate repositories, unrelated subsystems, unrelated bugs that happen to arrive in the same request.
Most tasks have one area, so most tasks get one delegation. A five-bug report spanning a mobile client and its backend does not; forcing that into a single delegation produces one long serial search and a report that has to cover everything at once.
Do not split what shares evidence. Two questions answered by reading the same files are one delegation — splitting them pays for the same search twice and gives you two half-views to reconcile.
Three delegations is already a lot, and every report has to fit in your context alongside the plan you are writing. A request with more genuinely independent areas than that is more than one plan: say so and scope it down, rather than fanning out further.
Dispatch independent delegations in parallel, in a single message. They
must return in the foreground — the delegation's tool result is the
researcher's report itself. Since Claude Code 2.1.232 an interactive session
runs every subagent in the background, the Agent tool's run_in_background
parameter is gone, and no agent frontmatter can ask for the foreground; the one
documented switch is CLAUDE_CODE_DISABLE_BACKGROUND_TASKS=1 in the project's
.claude/settings.json env. If a delegation returns "Async agent launched
successfully" instead of a report, that switch is not set. Say so once. If the
session model is Opus, continue — only the effort pin is at stake. Otherwise
stop and let the user restart with it set.
The foreground matters twice over. You cannot write the plan before the evidence arrives, and a researcher whose report lands after you have given up and started grepping yourself has been paid for and discarded. And a background completion arrives as a new turn, which drops this skill's model and effort pin — everything after it, including writing the plan, runs on the session model at the session effort.
Then read the decisive files yourself. The researcher discovers; you verify the evidence the root cause rests on. A plan is treated as authoritative once written, so an error inherited from a summary becomes an error the executor trusts and builds on.
The plan
Fill the contract in templates/PLAN-TEMPLATE.md — this repository's copy, or
the target project's own if it has one.
It must be self-contained. Execution happens in a fresh session that never sees this conversation, so anything you know and do not write down is lost.
Metadata: base commit, branch, date, goal, user-visible success criteria, non-goals, existing behaviour and how to reproduce it, architectural constraints, global verification commands.
Every phase: status checkbox, Risk: low | medium | high, suggested worker,
objective, verified evidence, expected files and symbols, required behaviour,
explicit non-goals, tests to add or run, "done when", and dependencies on
earlier phases.
Write behavioural requirements, not a list of edits. The executor needs to know what must be true when the phase is finished; it can find its own way there. That also gives the orchestrator an objective review standard instead of a diff-matching exercise.
Risk: high is what triggers a review gate during execution. Set it for
migrations, authorization, security, public API surface, and shared
infrastructure — not for routine additions.
Write the file to plans/<PlanName>.md, creating plans/ if it does not exist.
That path is canonical and it is the only copy. Do not also write to
~/.claude/plans/, and do not leave a second copy behind anywhere.
Finish
State the base commit you planned against, then give exactly this handoff:
Plan written to
plans/<PlanName>.md. Start a fresh session — or/clear— set/model sonnetand/effort medium(or startclaude --model sonnet --effort medium), then run:/execute-plan plans/<PlanName>.md
The fresh session is not a formality: it keeps this planning conversation out of
the executor's context. Setting the session model and effort is not a formality
either. /execute-plan's own model: sonnet / effort: medium pin covers the
first turn, and the session's settings are what the run falls back to — so the
session is what actually decides the orchestrator's tier. /clear keeps the
session's current model and effort, so set them explicitly either way.
Where the setup has a skill for interrogating a document — grilling and
grill-with-docs are the names it usually ships under — offer it as an optional
step on the written plan before that fresh session. A plan is cheapest to fix
while it is still only a file.
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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.

