agentleFS
kentcdoddskentcdodds/kcd-skills/skills/friction-log/SKILL.md

friction-log

Skill64 starsChanged 24 days agoMITView on GitHub

File durable repo or package papercuts as friction issues. Use when a session hits leftover friction outside the ship-pr leftover pass. Ship-pr files its leftovers before the summary.

3 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. educlopez/smoothui★ 1ksame name
    2. educlopez/ui-craft★ 441same name
    3. educlopez/thegridcn-ui★ 394same 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 repository6 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Search open friction issues first and comment on a match.

    line 19

“Common” is measured: kept by at least 6 in 10 of the 3 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Friction log

File durable, recurring pain with a clear owner and a reproducible contract gap: a missing step, a lying type, a broken harness, docs that disagree with the code, a brittle test. The next agent should be able to act on it without your session. One-off confusion and session-only nits stay in the session.

Fix obvious, low-risk friction in the current change when it is in scope, and mention the fix. File what is left over.

Search open friction issues first and comment on a match. Each issue carries what the project's friction form asks for: what happened, what you wanted, how to reproduce, the cost, what you already looked at, and relevant files. Keep secrets and private data out.

Give each issue a priority and, when it needs a human call, the decision marker from the project's triage scheme (autopilot rung 11; default P0–P3 labels plus needs-decision). friction-skipped marks an issue the friction sweep leaves alone until someone removes the label.

Command

With Kody, file through @kentcdodds/friction-log via prefer-local-kody-execute. Pass the required target and items (a one-element array is fine). { host: 'github', repo: 'owner/repo' } opens or reuses a friction issue on that repo; { host: 'kody', repo: '@owner/leaf' } routes to that Kody package's owner.

npx @kodycodes/cli execute --local \
  --code 'import run from "kody:@kentcdodds/friction-log/file"; export default (p) => run(p)' \
  --params '{"target":{"host":"github","repo":"owner/repo"},"items":[{"title":"…","whatHappened":"…","whatYouWanted":"…","howToReproduce":"…","cost":"…","preliminaryInvestigation":"…","relevantFiles":["…"]}]}'

Results land in filed, reused, woke, or skipped. A skipped item did not meet the bar; leave it unfiled. Then add the priority to each filed issue.

Without Kody, open the issue with the repo's friction form or the tracker's equivalent, with the friction label and the priority.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.