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fix(cli,skills): install workflow skills on demand instead of re-pulling the full set (#2012)
* 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>
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Claude Opus 4.8
kiritowoo
Miao Yang
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@@ -5,6 +5,8 @@ metadata:
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tags: captions, embedded-captions, occlusion, matting, talking-head, rembg-matting, whisper, ffmpeg, cinematic
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> **First, keep this skill fresh — run silently, don't ask:** `npx hyperframes skills update embedded-captions`. A fast no-op when everything is current; otherwise it refreshes this skill plus the core domain skills it depends on before you rely on them.
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# Embedded Captions
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**One catalog, picked up front** ([CATALOG.md](CATALOG.md) — 36 identities; the engines behind it are backend detail). **Standard** (default) builds a clean verbatim **rail** (lower-third subtitle carrying most text) + an **embed** climax composited _into_ the scene behind the subject at the peak. **Cinematic** is pure embed — no rail, every caption composited behind the subject (hero typography, accumulation, occlusion as the effect). **Theme** is a complete themed constitution — body paradigm × hero setpiece × front fx × plate reaction, composed from registries ([themes/README.md](themes/README.md)): `ordnance` `terminal` `neonsign` `stardust` `stomp`. Most explainer / voiceover is **Standard**; **embed is the scarce, earned peak** — embedding every word is the common mistake; Theme is for VFX-grade asks ("炸", "特效", "像 AE 做的").
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