* fix(continuous-learning): cluster instincts by keyword overlap in /evolve
`cmd_evolve` grouped instincts by exact string equality of the whole
normalized trigger sentence. Triggers are free-form sentences, so every
instinct landed in its own bucket and `skill_candidates` was always empty.
`agent_candidates` is derived from `skill_candidates`, so agents never
generated either — `/evolve --generate` could only ever emit commands.
Measured on a 42-instinct project: 42 instincts produced 42 unique cluster
keys, largest cluster size 1.
Group on keyword overlap instead. Jaccard is the wrong metric here — trigger
keyword sets average ~7 words, so even clearly related pairs top out around
0.33 — so this uses the overlap coefficient (shared / smaller set) at 0.5,
plus a floor of 2 shared keywords so one incidental word cannot pull
unrelated instincts together. The same 42 instincts now yield 4 clusters.
Also unify the command/agent slug used by the preview and the writer. The
preview called `.replace('a ', '')`, which strips "a " anywhere in the
string, mangling "extracting data from Reddit" into
`/extracting-datfrom-R` while `--generate` wrote `extracting-data-from.md`.
Both paths now share `_evolved_command_name()` / `_evolved_agent_name()`.
Adds tests/scripts/instinct-cli-evolve.test.js, which fails on the previous
implementation (0 clusters instead of 1; preview name `extracting-datfrom-R`)
and covers the negative cases so unrelated triggers still stay apart.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* docs(continuous-learning): correct clustering metric name in docstring
The docstring said "Jaccard" while the implementation uses the overlap
coefficient, which is the point of the change.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(continuous-learning): generate every evolve candidate and cut slugs on word boundaries
_generate_evolved() wrote only skill_candidates[:5], workflow_instincts[:5]
and agent_candidates[:3]. On a project with 36 command candidates that meant
5 files and no warning, so the output read as complete while 86% of the
candidates were dropped.
Generation is now unbounded by default and takes a --limit N flag for callers
that want a cap. A cap that truncates says so:
Note: writing 3 of 36 command candidates (--limit 3); 33 skipped.
The analysis preview keeps showing five per kind but now names the remainder
("... and 31 more command candidates not shown") instead of presenting a
sample as the whole set.
Slugs were also cut with a hard slice, which split words mid-token and
produced /investigating-comple, /learning-about-compl and
/researching-mechanis. _truncate_slug() retreats to the last separator that
fits, and keeps the full head when the cut already lands on one, so
"analyzing large text files" stays /analyzing-large-text rather than losing
a word. A first word longer than the limit still falls back to a hard cut
because no boundary is available.
Shorter slugs collide more easily, and a collision used to mean one file
silently overwriting another. _assign_unique_slugs() suffixes duplicates
(-2, -3) and is called by both the preview and the writer over the same
ordered list, so advertised names and written names cannot drift apart.
Skill directory naming moved to _evolved_skill_name(); it previously used its
own inline slug expression, so it was the one truncation the shared helper
did not cover.
Adds tests/scripts/instinct-cli-evolve-generate.test.js: 7 cases covering
word-boundary cuts, the separator-aligned cut, unbounded generation, --limit
reporting, collision dedup, preview remainder and preview/writer agreement.
Six of the seven fail against the previous implementation.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: haelyra <49814733+haelyra@users.noreply.github.com>
