chore: consolidate the skill packages under .agents/
The repository had two skill directories. `skills/` held the four written for this project; `.agents/skills/` held the ones the agent context refers to. Nothing said which an agent should read, and `.agents/ORCHESTRATOR.md` only ever pointed at the second. Move the first four into `.agents/skills/` so there is one location, and add the vendored packages this chapter work used: `animation-vocabulary` and `improve-animations` (emilkowalski/skills), `teach` (mattpocock/skills), plus a local `translation` skill and `audit-translations.mjs` for the EN/PT pairs. `skills-lock.json` pins the vendored three by source and content hash, so a later re-vendor is a diff rather than a guess. `.claude/skills/` is symlinks into `.agents/skills/`, which is what makes them loadable here without a second copy on disk. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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# Learning Record Format
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Learning records live in `./learning-records/` and use sequential numbering:
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`0001-slug.md`, `0002-slug.md`, etc. Create the directory lazily: only when the
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first record is written.
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They are the teaching equivalent of ADRs: they capture non-obvious lessons, key
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insights, and stated prior knowledge that will steer future sessions. They are
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used to calculate the zone of proximal development.
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## Template
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```md
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# {Short title of what was learned or established}
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{1-3 sentences: what was learned (or what prior knowledge was established), and
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why it matters for future sessions.}
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```
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That is the whole format. A learning record can be a single paragraph. The value
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is recording _that_ this is now known and _why_ it changes what to teach next,
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not in filling out sections.
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## Optional sections
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Only include these when they add genuine value. Most records won't need them.
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- **Status** frontmatter (`active | superseded by LR-NNNN`): useful when an
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earlier understanding turns out to be wrong and is replaced.
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- **Evidence**: how the user demonstrated the understanding (a question
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answered, an exercise completed, prior experience cited). Useful when the
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claim might be revisited.
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- **Implications**: what this unlocks or rules out for future sessions. Worth
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recording when non-obvious.
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## Numbering
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Scan `./learning-records/` for the highest existing number and increment by one.
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## When to write a learning record
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Write one when any of these is true:
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1. **The user demonstrated genuine understanding of something non-trivial**: not
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just exposure, but evidence they can use the concept correctly. This sets a
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new floor for what to teach next.
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2. **The user disclosed prior knowledge**: "I already know X." Record it so
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future sessions don't re-teach it. Also record the _depth_ claimed.
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3. **A misconception was corrected**: the user previously believed something
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wrong and now sees why. These are high-value: they predict future stumbling
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blocks for related topics.
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4. **The mission shifted in response to learning**: the user discovered they
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cared about something different than they thought. Cross-link to
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[[MISSION.md]] and update it.
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### What does _not_ qualify
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- Material that was merely covered. Coverage is not learning. Wait for evidence.
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- Anything already captured tersely in [[GLOSSARY.md]] as a term definition.
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Don't duplicate.
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- Session-by-session activity logs. Learning records are not a journal: they are
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decision-grade insights.
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## Supersession
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When a later record contradicts an earlier one (the user's understanding
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deepened or corrected), mark the old record `Status: superseded by LR-NNNN`
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rather than deleting it. The history of how understanding evolved is itself
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useful signal.
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