design-flow
Skill10 starsChanged 53 days agoMITView on GitHub
Use when progressing IC design through stages, checking module status, or routing rework decisions; not for single-stage execution or artifact authoring.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- drinkspiller/skillstheir own version, first seen Nov 6, 2026
- th3r-dev/th3-skillstheir own version, first seen Nov 1, 2026
- taro1037-design/claude-skillstheir own version, first seen Oct 20, 2026
- hakushiidev/claude-skillstheir own version, first seen Oct 15, 2026
- rynbol/claude-skillstheir own version, first seen Oct 13, 2026
- DanielNoamTuby/claude-skillstheir own version, first seen Sep 20, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- julianoczkowski/designer-skills★ 536same name
- viknesh20-20/claude-code-tool-kit★ 7same name
- Nihalgraphics/AI-Product-OS-for-UI-UX-Brand-Prototype★ 2same name
- drinkspiller/skills★ 1same name
- DanielNoamTuby/claude-skills★ 0same name
- hakushiidev/claude-skills★ 0same name
- rynbol/claude-skills★ 0same name
- taro1037-design/claude-skills★ 0same name
- th3r-dev/th3-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 repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- brainstormSkill
- env-precheckSkill
- lint-cdcSkill
- power-analysisSkill
- rtl-designSkill
- simulation-planSkill
- simulationSkill
- simulation-triageSkill
- specificationSkill
- synthesisSkill
- timing-analysisSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 2 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Use kernel.py status --module {module} to check current status.
- Distinctive: line 23
Run the kernel loop:
- Very specific: line 42
After launching a background executor, query decide again so other ready work can proceed.
- Distinctive: line 60
Follow the user's actual authorization.
- Very specific: line 75
When the task calls for a recorded acceptance, use decide --closing to check the current conclusions and delivered artifacts.
“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
Design Flow
Coordinate module stages, rework and delivery through
python3 <skill>/../../framework/scripts/kernel.py, written kernel.py below.
<skill> is this skill's directory; {module} contains events.jsonl,
intent/brainstorm.md and the stage trees.
The kernel owns events and scheduling. Stage executors own their workdir artifacts and close through the stage CLI, whether running in this conversation or in a subagent. While orchestrating, use the kernel rather than editing events or stage results directly. Inspect source when needed to understand an operation.
Use kernel.py status --module {module} to check current status. Command arguments are available
through kernel.py <command> --help.
Run the work
Run the kernel loop:
loop:
a = kernel.py decide --module {module} [--wake <rule>:<run>] [--closing]
execute(a) # actions below; launching a background executor does not wait for it
if a.action == DONE: finishFor DISPATCH, invoke the returned dispatch_args through the kernel CLI. The response prepares
the workdir and identifies the executor; it does not start that executor.
execution | Start the work |
main-thread | Invoke the returned skill in this conversation, acting as that stage's executor. |
task | Render the stage prompt with the module, rule, skill and workdir from dispatch; launch an independent background executor with that prompt through the host adapter. |
Skill names are bare stage names. The host adapter supplies native skill loading and delegation.
After launching a background executor, query decide again so other ready work can proceed.
Confirm executor exit through the host before waking or reaping its run; a result file or YIELD
does not establish exit. Once it exits, pass --wake <rule>:<run> to decide, including when it
left no result. Carry out the returned action:
REAP: runkernel.py reap --module {module} --rule <rule> --run <run>, then query again. Reap uses that run's result; an absent result is handled as an incomplete execution.YIELD: report the running work and wait for an executor completion before resuming.ESCALATE: address the reported blocker under the authorization below, then querydecideagain. Wait when needed information or a reserved human decision is unavailable.kernel.py diagnoserecords a later addition or correction to repair ownership;--supersedesidentifies the diagnosis being replaced.DONE: deliver the conclusions and complete any acceptance in scope, as described below.
A failed CLI operation remains incomplete until its reported cause is resolved.
Decisions and authorization
Follow the user's actual authorization. For a reserved decision, present the specific choice,
evidence and unresolved issues, then wait. Within explicit delegation, decide and act in scope.
A refusal remains binding. Host execution permission is separate from decision authorization.
For diagnose and signoff, --provenance identifies the decision maker and authorization;
--reason gives the engineering grounds.
For artifact changes, kernel.py consequences --module {module} --paths <path…> shows which
valid proofs the change would invalidate.
Completion and acceptance
Report what the delivered evidence establishes and any remaining limits. Recheck concrete issues through the responsible stage and existing repair flow. Completion requires separate approval only when the task reserves that decision.
When the task calls for a recorded acceptance, use decide --closing to check the current
conclusions and delivered artifacts. Present the returned basis, follow the authorization above,
and record acceptance with:
kernel.py signoff --module {module} --provenance "<decision maker and authorization>" \
--reason "<basis for accepting this delivery>"The record applies to the accepted evidence. New stage conclusions need a new acceptance when that is in scope; repeating collection of unchanged evidence does not. An acceptance record does not establish a missing technical fact or resolve a failed check.
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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.

