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Look up a past decision or memory specifically — filtered to memory-type embeddings (decision logs, project notes, feedback). Use when the user says "what did I decide about", "what was decided", "why did we choose", "remind me about [project]", or "what's our policy on".
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
TTS pronunciation configuration. Controls how written text is normalized to natural spoken English before being passed to the Speaches/Kokoro TTS engine. Two DB-configurable app_settings keys let operators add or override pronunciation rules without code changes.
Image-direction prompts for the content pipeline. Generate featured-image prompts, build stock image search queries, run the image-director reasoning that picks which sections get visuals (image_gen vs pexels, style, and prompt/query for each) plus one featured hero image, and caption rendered images with vision-derived alt text.
Generate a native, community-appropriate Reddit value-post from a published blog post
Blog drafting & revision prompts. Turn a topic + research context into a publication-ready markdown article, then refine it against reviewer feedback. Includes the writer system prompt, the draft request, the anti-fabrication initial-draft prompt, an SEO-metadata helper, and the iterative-refinement prompt. Use during the content-generation stage of the pipeline.
Video director — given a post body + podcast script + target duration, produces a JSON shot list (ordered shots with per-shot source plugin, prompt/query, and duration) for the post's video. Enforces the no-AI-humans + stylized-not-photoreal policies. Used by the generate_video_shot_list pipeline stage. Operator brand is templated via {site_name}.
Classify a published post into brand content-types (multi-label). Populates post_content_types via ClassifyContentTypesJob.
| name | recall-decision |
| description | Look up a past decision or memory specifically — filtered to memory-type embeddings (decision logs, project notes, feedback). Use when the user says "what did I decide about", "what was decided", "why did we choose", "remind me about [project]", or "what's our policy on". |
Like search-memory but filtered to source_table='memory' — pulls only from the curated memory layer (decision_log, feedback_*, project_*, user_* files), not from posts/issues/audit. Best for "what did I decide" questions where you want the intent behind a choice, not the surrounding noise.
Backed by the same /api/memory/search route as search-memory, with source_table=memory filter.
scripts/run.sh "<topic>" [limit]
One-line spoken summary: top-3 hits with similarity scores + previews. Full JSON returned in stderr-style output below for log inspection.
> scripts/run.sh "telegram vs discord channel discipline"
Found 2 matches. [0.79] memory/feedback_telegram_vs_discord: Telegram = critical alerts only; Discord = spam channel for routine progress... | [0.61] memory/decision_log: 2026-04-22 split alerts: Telegram for paging severity, Discord for everything below