agentleFS
M-BajalanM-Bajalan/kibsu-lab/skills/change-log/SKILL.md

change-log

Skill0 starsChanged 32 days agoMITView on GitHub

The log chain for this repository: what to write, where, and when, after any meaningful change. Run it before you say a task is done. Self-contained -- no other skill needed to execute it.

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 1

    1. microsoft/copilot-agent-inventory-samples★ 29same 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

5 rules. About 0 are common, 3 are distinctive, and 2 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.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use only the subsections you need.

    line 46
  2. Very specific:

    If this entry is the one that closes out a tasks/*.md brief (T1, T2, ...), add a literal line directly under the header, before any ### …

    line 50
  3. Very specific:

    If the change taught a durable lesson -- a gotcha, a root cause, a "check this first next time" -- write it to …

    line 75
  4. Distinctive:

    Run the repo's own checkers, bare, never through a pipe (a pipe swaps the exit code you're checking for the exit code of whatever it was …

    line 87
  5. Distinctive:

    Read the printed exit code immediately after -- not the one you expect -- to confirm the code you're about to report is the one that …

    line 95

≈ “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.

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

change-log

You changed something in this repository. Before you report the task finished, walk this checklist top to bottom. Every step names the exact file to touch.

The chain

1. docs/STATE.md -- always, if a track's status changed

Open docs/STATE.md. Find the row for the track you touched (DATA, REPORTING, RECONCILIATION, TASKS, or a new one you're adding). Update its Next action cell and its Last touched date. Do not leave a stale next action after finishing it.

git diff -- docs/STATE.md

confirms the row actually changed before you move on -- an empty diff here means you forgot this step, not that nothing needed updating.

2. docs/CHANGELOG.md -- always, when something shipped

Prepend a new entry at the top of docs/CHANGELOG.md, directly under the file's header, above every existing entry (newest-first):

## [YYYY-MM-DD HH:MM] - <one-line title>
### Changed
- <item -- with a path>
### Fixed
- <item -- with a path>
### Added
- <item -- with a path>

Use only the subsections you need. The title should say what changed in plain words.

2a. The task: <ID> field -- reserved for task-completion entries only

If this entry is the one that closes out a tasks/*.md brief (T1, T2, ...), add a literal line directly under the header, before any ### subsection:

## [YYYY-MM-DD HH:MM] - <one-line title>
task: T1
### Changed
- <item -- with a path>

tools/check_task.py's governance gates look for an exact line reading task: T1 (or task: T2) -- not for the word T1 anywhere in the entry. That distinction is load-bearing: an entry that merely describes a fix or a review round naturally contains those tokens in prose, and a substring match would let that prose silently satisfy the gate without the task ever actually being logged as done. It happened once in this repo -- see the CHANGELOG entry titled "Round 2" for the fix.

Reserve this field strictly. An entry that is not closing out a task -- a doc fix, a build phase, a review round, a dependency bump, even one whose prose discusses T1 or T2 at length -- must not include a task: <ID> line. The field means one thing only: an agent is claiming, right now, that this specific task is done. Do not use it for anything else, even when it would be convenient.

3. Learnings -- whenever you learn something reusable

If the change taught a durable lesson -- a gotcha, a root cause, a "check this first next time" -- write it to docs/memory/learnings/<slug>.md as its own file. Do not bury a reusable lesson inside a CHANGELOG entry where the next agent will never find it by searching a topic.

A learning that turns out to be consulted by a later task's checker (see tools/check_task.py T2, which requires docs/memory/learnings/reconciliation-check-batches-first.md to exist and be non-empty) is not decorative -- it is load-bearing. Extend an existing learning file rather than duplicating it when the lesson is the same one, restated.

4. Verify before you claim done

Run the repo's own checkers, bare, never through a pipe (a pipe swaps the exit code you're checking for the exit code of whatever it was piped into):

python tools/check_task.py <TASK>
echo $?

Read the printed exit code immediately after -- not the one you expect -- to confirm the code you're about to report is the one that actually happened.

5. Report format

End your message with the same shape every time, so the state of the chain is visible at a glance:

LOG chain: 1(STATE.md)✓ 2(CHANGELOG.md)✓ 3(learnings)— 4(verified: exit 0)✓

✓ = done. — = not applicable, with the reason stated inline. If a step is neither ✓ nor a stated —, the task is not done -- say what's missing instead of reporting completion.

Decision table

You did...Steps
Fixed a bug / added a feature1, 2, 4, 5, (3 if you learned something reusable)
Doc-only edit1, 5
Learned a reusable lesson with no code change3, 5
Anything a task's checker (tools/check_task.py) will grade1, 2, 4, 5

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.