propose
Skill8 starsChanged 3 months agoMITView on GitHub
Produce an approved implementation proposal — plan, simplicity-review the plan, checkpoint with user. Use before non-trivial implementation work (architectural decisions, multi-file changes, features) when alignment is wanted before writing code. Returns a plan ready to implement.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- mazzsva/claude-skillstheir own version, first seen Nov 8, 2026
- joeldevz/skynex-pitheir own version, first seen Nov 8, 2026
- xpoes123/claude-skillstheir own version, first seen Oct 20, 2026
- ordinary9843/claude-gitizenstheir own version, first seen Oct 15, 2026
- thomaslty/claude-skillstheir own version, first seen Oct 8, 2026
- calven-ai/marketing-as-codetheir own version, first seen Oct 7, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- MJbae/awesome-novel-studio★ 148same name
- Codagent-AI/agent-skills★ 31same name
- calven-ai/marketing-as-code★ 10same name
- joeldevz/skynex-pi★ 2same name
- brianharms/skill-propose★ 0same name
- mazzsva/claude-skills★ 0same name
- ordinary9843/claude-gitizens★ 0same name
- smkartch/claude-skills★ 0same name
- thomaslty/claude-skills★ 0same name
- xpoes123/claude-skills★ 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.
- AGENTS.mdAGENTS.md
- instructions/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- exploreSkill
- featureSkill
- find-sessionSkill
- fix-ciSkill
- humanizerSkill
- kauffj-voiceSkill
- review-prSkill
- review-securitySkill
- review-simplicitySkill
- review-uiSkill
- workspaceSkill
- writingSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 4 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
Use this when the work is big enough that you want alignment before writing code.
- Very specific: line 21
If --workspace <name> is provided, fetch the workspace record so the plan targets the right worktree:
- Very specific: line 27
Use its worktreePath as the working directory for the Plan agent.
- Very specific: line 52
If the tree is behind its upstream and clean, fast-forward it (git merge --ff-only @{u}).
- Distinctive: line 53
If it is behind but dirty, do NOT touch it — say so in the plan's assumptions, so a stale conclusion is visible rather than silent.
- Distinctive: line 95
If delegation is unavailable, perform the review in the current context and report that limitation.
- Distinctive: line 121
If BLOCKED, feed the feedback back into Step 1 (re-plan with the review appended).
- Distinctive: line 134
If the user provides feedback, incorporate it and re-run from Step 1 (or just adjust the plan directly if changes are minor).
- Very specific: line 149
If --workspace <name> was provided, also record the plan path in the workspace record's pipeline so downstream skills can find it:
“Common” is measured: kept by at least 6 in 10 of the 9 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
Align before building
Plan a non-trivial change, get it reviewed against simplicity principles, then confirm with the user. Returns an approved plan that a downstream skill (or you) can implement.
Use this when the work is big enough that you want alignment before writing code. The feature skill applies it as Step 1; it can also be applied standalone for a refactor, a bug-fix approach, or a spike design.
Reference files:
$HOME/.config/agent-config/hickey-principles.md— simplicity criteria for the design review
Parse the request
Split the text supplied with the invocation into the description and optional --workspace <name>.
If --workspace <name> is provided, fetch the workspace record so the plan targets the right worktree:
node "$HOME/.config/agent-config/lib/workspace.mjs" get <NAME>Use its worktreePath as the working directory for the Plan agent. If no workspace, use the current working directory.
Also load the project profile so the plan knows the stack:
node "$HOME/.config/agent-config/lib/workspace.mjs" bootstrap
node "$HOME/.config/agent-config/lib/project.mjs" loadExtract $STACK, $DEPLOY_MODEL, $BUILD_CMD. A null command means the
project has no such step — take it at face value.
Step 0: Explore from a current tree
The Plan agent reads whatever is on disk. A checkout 21 commits behind the remote once
led it to plan around a feature that had already shipped — the exploration is only as good
as the tree it runs on. Before launching it, in $CWD:
git fetch --quiet origin
git status --short --branch | head -1 # how far behind is this tree?If the tree is behind its upstream and clean, fast-forward it (git merge --ff-only @{u}).
If it is behind but dirty, do NOT touch it — say so in the plan's assumptions, so a stale
conclusion is visible rather than silent.
Step 1: Plan
Delegate planning to an available planning or exploration subagent with this prompt. If the current harness cannot delegate, perform the same planning in the current context and report that limitation:
You are a senior software architect planning a change.
Working directory:
$CWD(use this for all file exploration) Tech stack: $STACK Deploy model: $DEPLOY_MODELRequest: "$DESCRIPTION"
Phase 1 — Describe the current state: Explore the codebase to understand the area this change touches. Document what exists today — relevant files, patterns, data models, and UI. Do NOT jump to solutions yet.
Phase 2 — Plan the change: Based on your understanding, produce a plan with:
- Summary — one paragraph describing what will be built
- Approach — step-by-step implementation plan
- Files to create/modify — list each file and what changes
- DB changes — any new tables, columns, or migrations (if none, say "None")
- UI components — new components needed, following existing patterns (if none, say "None")
- Affected URLs — routes that will be added or changed (if not applicable, say "None")
- Acceptance criteria — how will we verify this works? List specific observable outcomes.
- Unknowns/risks — anything you're unsure about or that could go wrong
Be specific. Reference existing patterns you find in the codebase.
Capture the plan as $PLAN.
Step 2: Simplicity review of the plan
Delegate review of the plan—not the code—to an available review subagent. If delegation is unavailable, perform the review in the current context and report that limitation.
Prompt:
You are a design reviewer focused on simplicity and avoiding complection.
First, read
$HOME/.config/agent-config/hickey-principles.mdto load your review criteria.Then review this plan:
[INSERT $PLAN]
Evaluate:
- Is anything being complected that should be separate?
- Are there easy-over-simple tradeoffs being made?
- Are there unnecessary abstractions or premature generalizations?
- Could the approach be simpler while meeting the requirements?
- Are there "functions doing two things" in the proposed design?
Output one of:
- APPROVED — the plan is sound, with any minor notes
- BLOCKED — specific issues that must be addressed, with concrete suggestions
Be rigorous but practical. Don't block for theoretical concerns.
If BLOCKED, feed the feedback back into Step 1 (re-plan with the review appended). Max 2 re-plan iterations. After 2 rejections, present the situation to the user and ask how to proceed.
Step 3: User checkpoint
Present to the user:
- The approved plan
- The design-review notes
- The working directory (
$CWD)
Yield to the user through the current harness and ask: "Does this plan look good? Reply 'yes' to proceed, or provide feedback to adjust."
If the user provides feedback, incorporate it and re-run from Step 1 (or just adjust the plan directly if changes are minor).
Do not return without user approval.
Output
On approval, save the plan to a well-known path. The slug is the workspace name if --workspace <name> was passed; otherwise derive a kebab-case slug from the description.
mkdir -p .workspaces/plans
echo "$PLAN" > .workspaces/plans/<slug>.mdIf --workspace <name> was provided, also record the plan path in the workspace record's pipeline so downstream skills can find it:
node "$HOME/.config/agent-config/lib/workspace.mjs" update <NAME> "$(jq -n --arg p ".workspaces/plans/<slug>.md" '{pipeline: {planPath: $p}}')"Print the plan to the user so they see the final version. Callers know where the file is: .workspaces/plans/<slug>.md (or, if they have a workspace name, read pipeline.planPath from the workspace record).
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.

