Capture Knowledge

SkillMedia

Capture durable, project-specific learnings from the work just done into the knowledge/ base — gotchas, implementation quirks, things looked up or web-searched, live-API behaviours, and design decisions (as ADRs). Use before opening a PR (it runs automatically in /deliver), or any time you've learned something worth remembering. Records only non-obvious, reusable facts; skips anything already in the repo, CLAUDE.md, or git history.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Capture Knowledge skill

What this skill tells your AI

The instructions your AI receives, as published by adamayoung/tmdb in .claude/skills/capture-knowledge/SKILL.md and read by ahel’s review.

Fold what you just learned into the committed knowledge base at knowledge/, so a future session (or contributor) doesn't have to re-learn or re-discover it. Run this before a PR — in /deliver it runs automatically pre-PR, so the notes land in the same PR as the change.

What to capture (be selective)

Record only durable, project-specific, non-obvious facts — the test is "would a future me waste time without this?":

  • Gotchas / quirksknowledge/gotchas.md — a trap you hit, a tooling surprise, anything that needed a web search or doc lookup to resolve.
  • Live-API behavioursknowledge/tmdb-api-notes.md — a nullable/absent field, an undocumented response shape, an enum value the docs omit.
  • Design decisions → a new ADR in knowledge/decisions/ (next number — take it from decisions/README.md's index, not a directory listing), using decisions/0000-template.md. Any non-obvious choice and its rationale — why this approach over the alternatives. Add the new row to that index.
  • Deferred breaking changesknowledge/next-major.md — any fix rejected or deferred because it is breaking. The skill-improvement log remembers the "no"; this file is what makes the deferred "yes" resurface at the next major. Reconcile its status line whenever you add an entry: it states which major window is open, and an entry filed against a window that already shipped is invisible at exactly the moment it should fire. A window is open until the version is tagged — an unreleased CHANGELOG section is not a release (git tag --list | sort -V | tail -1).

What NOT to capture

Mirror the discipline of a good memory — don't record:

  • Anything already in the code, CLAUDE.md, the topic docs under .claude/docs/, the DocC docs, or git history.
  • Facts that only mattered to this one task and won't recur.
  • Restatements of the obvious. If asked to record something obvious, capture the non-obvious part (what surprised you) or skip it.

Quality over volume: a few high-signal entries beat a long dump.

A learning that implies work is not a knowledge entry. knowledge/ records what is true; an issue records what should change. "The decoder drops tv rows" is not a gotcha to remember, it is a defect to file — writing it here instead buries it in a file nobody greps until they hit the same wall. When a candidate is really a task, file it per .github/ISSUE_FILING.md and record only the durable half here, if any survives. The two are not exclusive: a live-API quirk often earns a tmdb-api-notes.md line and an issue for the code that mishandles it — cite the issue number from the entry so they stay tied.

When an entry records a count, ask what enforces it

If a candidate entry states a known-remaining defect count — "54 sites still do X", "3 models still decode Y unsafely" — stop and ask the follow-up: "what fails if that number changes?" A number in a markdown file is a promise with nothing behind it; it silently goes stale as sites are fixed or regressed, and the two cancel out.

Prefer a committed check with an explicit set, not a count (so a fix and a regression can't cancel, and an empty scan can't pass), wired into both make lint and CI — no workflow runs make, so one alone is invisible. Scripts/check-defaulted-witnesses.py is the worked example, and its history is the lesson: it began as an allowlist of sites still to fix, which checked only that the count went down. Once those sites were rewritten it had to also assert that each one's replacements were actually written, because every other gate is deletion-side — a missing replacement is a silent source break that passes lint, build, test and CI. Ask which direction your check runs in, and whether its green would look any different if the scan had matched nothing at all. If a guard isn't worth building, say so in the entry, so the number reads as an observation rather than an invariant.

Steps

  1. Start from the candidates list, if one exists. If the caller passed a knowledge-candidates list as the argument ($ARGUMENTS below — /deliver pastes its ledger list here), use that as your input — that's the reliable source, jotted while the learnings were fresh, and it reaches you intact even if the caller's context was compacted. Otherwise, reconstruct candidates by reviewing the work just done — the diff, the dead-ends, the things you looked up, the decisions you made.

  2. Filter against "What NOT to capture". Drop the rest.

  3. Check for duplicates — skim the relevant knowledge/ file; update an existing entry rather than adding a near-duplicate.

  4. Write each entry in the right file:

    • Gotchas / API notes: a short dated subsection (### <title>), newest at the top, under the right heading. Date it with today's date.
    • Cite the PR that did the work, not the issue it came from. A bare #NNN is ambiguous — this repo's numbers interleave issues and PRs, so (#432) and (#417) look identical and only one is the change. Take the number from the branch's own PR; if it doesn't exist yet, leave a placeholder and backfill it. Name the issue only when the issue itself is the subject, and then say "issue #NNN" in words. (See knowledge/README.mdHow to use it.)
    • Decisions: copy decisions/0000-template.md to decisions/NNNN-<kebab-title>.md (next free number), fill in Status / Date / Context / Decision / Consequences / Alternatives. Cross-link related ADRs.
  5. Retire what the diff invalidates — sweep by citation, not by neighbourhood. The base is a cache of current truths, not an archive (git history is the archive — see knowledge/README.mdMaintenance & retention). Staleness is usually caused by the very change you are capturing for, so find it from the diff:

    1. List the infrastructure files this change touched:

      git diff --name-only origin/main...HEAD | \
        grep -E '^(Makefile|Package\.swift|Package\.resolved|\.github/workflows/|\.claude/)'
      
    2. For each hit, grep all of knowledge/ (not just the file you are writing to) for entries citing that file, its targets, or its pinned values — e.g. grep -n 'Makefile\|make ci\|TEST_TARGET' knowledge/*.md, grep -n 'ci\.yml\|Xcode_[0-9]' knowledge/*.md. Test-target lists, pinned tool/Xcode versions, SWIFTCI_DOCC, scratch paths, and workflow step names are the usual casualties. If the change renames or removes a knowledge/ entry heading, also grep .claude/ and CLAUDE.md for citations of the old title — skills cite gotchas by title.

    3. Read every citing entry and reconcile it: still true → leave it; partly true → rewrite it in the present tense; no longer true → delete it. Never append an "Update:" / "Resolved in #NNN" note to a stale entry — rewrite or delete it. An entry that narrates its own history contradicts itself within weeks (this is exactly how the .docc gotcha decayed across #396–#402).

    4. Report the sweep as one line: swept: <infra files touched> → <entries rewritten/deleted | none cited>. No infra files in the diff → swept: n/a, and fall back to scanning the neighbouring entries of any knowledge file you edited.

  6. Keep it tidy — blank lines around headings/lists/code fences, a language on every fence, one # H1 per file. knowledge/** is in the make lint-markdown scope and the CI Lint Markdown job, so a malformed entry fails the gate rather than rendering wrong in silence (a raw | inside a table cell once did exactly that). Run make lint-markdown after writing. Aim for ~80-col prose; long jq/URL lines are fine — MD013 is disabled.

  7. Update knowledge/README.md only if you added a new file or category (the per-entry index inside each file is enough otherwise).

Return

Report concisely what you captured: each entry → which file (and ADR number for decisions), and note anything you deliberately skipped as not durable. If nothing met the bar, say so plainly — capturing nothing is a valid outcome. List any issues you filed for candidates that turned out to be work rather than knowledge.

Always end with the swept: line from step 5.4swept: <infra files> → <entries rewritten/deleted | none cited>, or swept: n/a. It is not optional prose: /deliver copies it into the retro and treats its absence as proof the retirement sweep never ran. A report without it reads as a skipped step.

Arguments: $ARGUMENTS

Signals

GitHub stars
176
Forks
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Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
capture-knowledge
Source
github.com/adamayoung/tmdb