embedded-captions

Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.

Quality

86%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

73%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-structured, highly actionable overview of a complex multi-mode skill with strong validation and feedback loops. Its main weakness is verbosity from restating core rules across multiple sections.

Suggestions

Consolidate the rail/embed/drop model into the Caption model section and have the intro, Load-bearing rules, and Non-negotiables link back to it rather than re-explaining.

Trim the dense parenthetical asides in the Operational flow and Non-negotiables into short rules with detail moved to the relevant reference file.

Move the full DNA registry table and per-identity detail fully behind dna/README.md, keeping only the pick heuristic and a one-line-per-DNA summary in SKILL.md.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient craft detail, but the rail/embed/drop model is restated across the intro, Caption model, Load-bearing rules, and Non-negotiables, and several long parenthetical asides could be tightened.	3 / 5
Actionability	Provides concrete, copy-paste-ready commands (prepare.sh, preview-frames.cjs, render-and-composite.sh, ffprobe/ffmpeg probes), but full authoring schemas for plan.json/theme.json are deferred to external files, leaving minor gaps.	4 / 5
Workflow Clarity	A clearly sequenced 5-step pipeline with a 'RUN FIRST' decision gate, explicit validation gates (timing/occlusion/overflow/hand-off), and a Visual QA checklist plus a preview→fix→re-preview→render feedback loop for error recovery.	5 / 5
Progressive Disclosure	A Shared-knowledge table gives clear one-level-deep navigation to real reference files (rail.md, composition-craft.md, dna/README.md, etc.), though the main SKILL.md itself is long with some inlined detail that leans on reinforcement.	4 / 5
	Total	16 / 20 Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, trigger-rich, and clearly answers both what and when in third-person imperative voice. It is a strong, concise pitch with minimal overlap risk.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, and named identities from a 35-style catalog — plus transcription and matting, giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly states both what it does ('Add captions or subtitles to an existing single-subject talking-head video without editing the footage') and when to use it ('Use for plain verbatim captions, cinematic captions…, VFX captions…').	5 / 5
Trigger Term Quality	Includes natural user-voiced terms and synonyms — 'captions or subtitles', 'cinematic captions', 'VFX captions', and the Chinese buzzwords '炸/特效/酷炫字幕' — covering the phrases users actually say.	5 / 5
Distinctiveness Conflict Risk	Tightly scoped to single-subject talking-head video captioning with distinct visual-identity routing, making conflict with other skills minimal.	5 / 5
	Total	20 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
relative_links	Relative link issues: 12 missing	Warning

	Total	15 / 16 Passed

Repository: heygen-com/hyperframes
Path: skills/embedded-captions/SKILL.md
Commit: a562946

Reviewed: about 10 hours ago

Table of Contents

Discovery Implementation Validation

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.