* fix(cli,skills): install workflow skills on demand instead of re-pulling the full set
Users report every init re-pulls all 21 skills into ~/.agents/skills
whenever anything is stale or missing - heavy, noisy, and it re-expands
deliberate partial installs.
Split the set into two tiers:
- core: the /hyperframes router + hyperframes-* domain skills +
media-use, which every workflow references structurally. init and
bare 'skills update' keep these (plus anything already installed)
fresh, and never expand the install.
- on demand: the end-user workflow skills (and figma). They install at
trigger time via 'skills update <name...>' - positional names are
the only way update expands an install: one targeted
'skills add --skill <name>' covering only stale/missing targets, a
fast no-op when current, presence-verified after install, exit 1 on
unknown names, and a presence-only degrade when GitHub is
unreachable.
The /hyperframes router now runs 'skills update <workflow>' after
routing and before reading the workflow skill, so a routed workflow is
guaranteed present even on a machine that only has the core set. Each
on-demand skill also opens with the same self-maintenance step (run
'npx hyperframes skills update <name>' silently), so a workflow
triggered directly - without the router - still refreshes itself and
restores any missing core skill before relying on it.
When the manifest is unreachable (offline / rate-limited) the engine
degrades honestly instead of claiming success: named runs presence-check
the request plus a pinned fallback core list (unit-pinned to skills/)
and blind-install whatever is absent; a bare strict update fails loudly
so the 'check || update' chain can't pass while everything stays stale;
init reports the skipped freshness check. --json emits structured
errors on failure paths.
skills check still lists every skill, but exits non-zero only for
stale installed skills, an incomplete core set, or removed leftovers -
workflow skills not yet installed are reported as available on demand.
Bare 'hyperframes skills' (and 'skills add --all') remain the explicit
full-set installs.
Verified end-to-end with a sandboxed $HOME: fresh init installs the 9
core skills only; 'skills update slideshow' adds exactly that skill
(no-op on re-run, exit 1 on unknown names); bare update refreshes
without expanding; a live Claude Code run routed PR-to-video, executed
the router's update step, and the workflow skill appeared before use;
and a second live run triggered an installed workflow directly, whose
opening maintenance step restored a deliberately removed core skill.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* docs(skills): clarify update-engine contracts + document lazy-install model
- skills.ts: note the UpdateSkillsResult.unknown strict-mode contract,
verifyInstalled's non-strict (warn-not-throw) intent, and that a
partial install stays "refreshed but never expanded" (review nits).
- docs/guides/skills.mdx: add a "Keeping skills current" section covering
the core-eager / workflow-on-demand model and the skills check|update
commands, per the repo's catalog-maintenance rule.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: kiritowoo <295860553+kiritowoo@users.noreply.github.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Miao Yang <miao.yang@heygen.com>
