agentsclimarketplace

Make plan

Skill fabienjuif/agentic-skills/plugins/fabien-skills/skills/make-plan

Personal collection of reusable Claude Code agentic skills, packaged as an installable plugin marketplace.

Install
npx -y skills add fabienjuif/agentic-skills --skill make-plan

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What its author says it does

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Produce a plan for a non-trivial task as a self-contained docs/plans/<name>/ directory (CLAUDE.md, README.md, ROADMAP.md, PROMPT.md, changelogs/) so a fresh agent session AND a human can pick it up later. Use whenever asked to "create a plan", "plan this out", or before implementing anything multi-step or architectural.

SKILL.md

4.3 KB, 829 tokens by cl100k_base, as published. Nobody here has run it

/make-plan — write a durable, resumable plan

Plans are directories, not single files. A good plan lets both a fresh Claude session and a human dig in cold and know exactly what was decided, why, and what's next.

When to use

  • The user asks to "create a plan", "plan this", "design this out".
  • Before implementing anything non-trivial (3+ steps or an architectural decision).
  • Skip for trivial one-line / config tweaks where the overhead isn't justified.

Process

1. Investigate first — don't plan from assumptions

Ground the plan in the actual codebase. Dispatch Explore subagents in parallel to find the real integration points, existing patterns, and prior art the user mentions. Cite concrete file paths in the plan — a plan full of guesses is worse than no plan.

2. Resolve the decisions only the user can make

Use AskUserQuestion for choices that materially change the plan (approach, scope, surface). Don't ask about things you can verify yourself or where there's an obvious default — decide those and state them. Lock the answers into PROMPT.md.

3. Create the plan directory

Pick a short kebab-case name. Create docs/plans/<name>/ with at least these files:

FileAudienceHolds
PROMPT.mdscope guardThe frozen original request + the decisions locked with the user + explicit in/out of scope. The anti-drift anchor. Amend only if scope truly changes (note it in a changelog).
README.mdthe humanWhat this is, why it exists, the decision "in one breath", an architecture-at-a-glance diagram, a "where to go next" table, and a Grounding table of real file paths.
CLAUDE.mdfuture agentsBinding context for any agent working in the dir: reading order, the load-bearing decisions ("don't relitigate without reason"), delegation rules, and the changelog rule. Auto-loaded when an agent works here.
ROADMAP.mdimplementerPhased build. Each phase: concrete files to touch + an explicit exit condition. Sequence so the lowest-risk / no-dependency value ships first. End with a dependency graph + status.
changelogs/<datetime>.mdhistoryOne file per working session (never rewrite old ones). What changed, decisions made, open questions, the next step.

Add more docs when the task warrants (e.g. ARCHITECTURE.md, API-REALITY.md, QUESTIONS.md, METRICS.md).

Get the changelog timestamp with: date +%Y-%m-%dT%H-%M-%S.

4. Style

  • Be concrete and grounded: real file paths, real function names, verified facts over prose.
  • Lead with the recommendation; mark decisions that shouldn't be relitigated.
  • Use Mermaid diagrams for architecture and dependency graphs.
  • Keep it honest: flag open questions and blockers explicitly rather than papering over them.

5. Post-write

  • Format the new Markdown if the project uses a formatter (e.g. npx prettier --write "docs/plans/<name>/**/*.md").
  • Don't implement as part of planning — a plan is the deliverable. Offer to start the first phase after the user reviews.

Resuming a plan

A fresh session continues a plan by reading PROMPT.mdCLAUDE.mdROADMAP.md → the latest changelogs/ entry, then appending a new changelog as it works.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.