media-reviewer
Analyze media content structure, narrative flow, key themes, and important moments from videos, podcasts, and articles. Use when you need to understand content organization before documenting.
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Analyze media content structure, narrative flow, key themes, and important moments from videos, podcasts, and articles. Use when you need to understand content organization before documenting.
Inline workflow executor for proxy providers (ZenMux, custom API providers). Executes workflow steps directly in the main context WITHOUT spawning Task subagents. Use this skill when: - Running looplia workflo...
Rephrase or completely rewrite content matching user's preferred tone, voice, and style.
Load the skill catalog for workflow building. This skill should be used when discovering available looplia skills or listing what capabilities are available. Use when someone says "what looplia skills are insta...
This skill should be used when matching user requirements to available skills from a compiled registry. It receives a skill registry (from registry-loader) and user requirements, then scores each skill based on...
Generate structured ContentSummary JSON from analyzed content. Use after media-reviewer to produce final output with all 16 fields.
Looplia writer skill for generating content ideas with personalization. Reads user profile for context. Generates hooks, angles, and thought-provoking questions. Use after media-reviewer to transform analysis i...
Generate structured spec files for Choo Choo Ralph. Use when running /choo-choo-ralph:spec or creating task breakdowns.
Guidance for customizing Ralph workflows, formulas, learning capture, and troubleshooting. Use for questions about Ralph loop, formulas, harvesting learnings, or running multiple Ralphs.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps you...
Provide accurate current time by calling get_time tool.
Browse local workspace files via MCP filesystem tools (docker-fs).
Read a small snippet of a text file using file_read.
Maintain a structured Setup/Payoff ledger (promises, debts, payoffs) and generate a payoff roadmap.
Compute text stats via text_stats tool.
Define what the Story Control Panel shows, how to compute signals, and how the author should act on alerts.
Lookup up-to-date library docs via Context7 MCP (resolve-library-id / get-library-docs).
Evaluate arithmetic expressions precisely by calling py_calc (python-file tool).
Govern canon changes: require explicit reason/impact/retroactive policy, and produce an actionable propagation plan.
Provide accurate current time by calling get_time tool.
Read environment variables via get_env tool (mask secrets).
Convert text to URL-friendly slug via slugify tool.
Grep the workspace for a pattern using file_search.
Help the author write narrative unit tests (rules/constraints) and interpret failures with a concrete fix roadmap.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。