minimal-planning
Skill1 starsChanged 12 days agoMITView on GitHub
Produce a right-sized implementation plan with acceptance criteria, complexity budget, verification, and rollback proportional to the selected mode.
In this repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- adaptive-engineeringSkill
- code-reviewSkill
- existing-system-scanSkill
- memory-groundingSkill
- simplification-gateSkill
- systematic-debuggingSkill
- task-triageSkill
- verificationSkill
- verified-implementationSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
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 13
Create a short plan containing:
- Distinctive: line 21
Add only the rigor the risk requires:
- Distinctive: line 27
test and operational verification strategy
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Minimal Planning
Plan only enough to reduce execution risk.
FAST
Usually no formal plan. If needed, use at most three execution bullets.
STANDARD
Create a short plan containing:
- acceptance criteria
- files/components expected to change
- implementation sequence (normally 3-7 steps)
- targeted tests/verification
- complexity budget
DEEP
Add only the rigor the risk requires:
- requirements and invariants
- failure modes
- considered approaches and selected trade-off
- staged implementation
- data/compatibility/rollback considerations
- test and operational verification strategy
- explicit complexity budget
Rule
A plan must make implementation easier. If a plan repeats the request without resolving uncertainty, shorten it or investigate instead.
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.