docs: trim skill READMEs and ADR/changelog narration

Two related simplification-audit findings, bundled because they edit
some of the same skill-audit files and splitting would fragment
single-file diffs.

Finding 10: delete 48 per-skill/reference README.md files (they
restated SKILL.md in narrative form and no agent ever loads them) plus
2 scaffold templates. Drop the README criterion from skill-audit's
file-structure.md and finding-criteria.md, and the README-generation
step from skill-author's new-skill.sh; update new-skill.bats to match.
Plugin-root READMEs are kept intentionally, out of scope.

Finding 12: strip historical ADR-0020/ADR-0023 citations and
changelog-style narration from model-facing skill content across
kyberforge and git plugin skills. Delete skill-author's one-time
retrofit.md migration guide and its references. Some ADR-0023 tags
were not narration but check-rtk-prefix's required opt-out marker for
intentionally-bare git commands -- those were restored, not stripped.

Mirror re-synced and full pre-commit/pre-push suite verified green.

Refs: SIMPLIFICATION-AUDIT.md findings 10, 12

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01YR2CjVumUbEGWcMikcoXBD
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# research
Research a tool, library or API from canonical documentation into a directory of structured per-topic reference files.
## What it does
Runs a six-step pipeline: scope against the working directory (what version is actually in use, what is already documented), resolve the topic through Context7, websearch for canonical docs covering whatever Context7 missed, read those sources, deepen one level into the links worth following, then write one markdown file per topic area plus a `sources.md` provenance record.
Four gotchas at the top of `SKILL.md` shape the whole run, and each exists because of a specific failure: the output path is never inferred (a guessed destination scatters a directory's worth of files through someone's source tree); nothing is written outside that path; no empty topic file is ever written (a stub `troubleshooting.md` reads downstream as researched and closed); and a Context7 "no results", redirect or header-only response does not count as coverage. If no topic area has content, the run writes nothing at all — `sources.md` included — and reports what it searched.
The frontmatter pins `model: sonnet` and a closed `allowed-tools` list. Notably it grants no subagent tool, so every `WebFetch` is serial and each fetched page lands in the run's own context — which is why steps 4 and 5 insist on reducing each page to notes before fetching the next, and cap deepening at roughly ten extra pages.
## Composition
Both reference files are read on condition, never on every run — `SKILL.md` inlines the minimum each step needs (the seven default topic areas at step 1, the four `sources.md` field names and the topic-file frontmatter keys at step 6) and sends the run to the reference only for what it does not carry. Those four field names are matched literally by the downstream provenance validator, so prose written in their place parses as nothing and the check passes having verified nothing — which is why they are inlined rather than deferred.
## Usage
```text
/research
```
Name the topic and the output path — the skill will stop and ask if the path is missing. Supplying starting URLs is treated as a deliberate source choice and skips Context7 resolution and discovery. For documentation derived from existing code or specs, use `write-docs`; for a bug or incident, use `diagnose`.
## Files
| File | Purpose |
|------|---------|
| `SKILL.md` | The four gotchas and the six research steps |
| `references/topics.md` | Read at Step 1 only when what belongs in a default topic is unclear or a custom topic is needed: the per-topic coverage table and the custom-topic naming rule |
| `references/file-format.md` | Read at Step 6 only when the inlined field names do not settle the case: slug derivation, the Context7 slug and URL convention, and what belongs in a topic body |