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Search semantic memory across all embedded content (memory, posts, issues, audit). Use when the user says "what do I know about", "search memory for", "recall", "find references to", or asks open-ended questions about prior context.
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 | search-memory |
| description | Search semantic memory across all embedded content (memory, posts, issues, audit). Use when the user says "what do I know about", "search memory for", "recall", "find references to", or asks open-ended questions about prior context. |
Vector-search across the unified embeddings table (poindexter_brain.embeddings — ~25K rows spanning posts, memory files, issues, audit log, brain decisions, claude_sessions). Returns the top hits with similarity scores so the agent can decide how confidently to surface them.
Backed by the worker's /api/memory/search endpoint, which fronts MemoryClient.search (pgvector cosine similarity over nomic-embed-text:768 embeddings).
scripts/run.sh "<query>" [limit] [min_similarity]
Plain-text summary of hits, one per line, prefixed with [similarity] [source_table] source_id. Suitable for direct TTS readback in voice contexts.
> scripts/run.sh "backup strategy" 3 0.5
Memory search: "backup strategy" (3 results)
1. [0.7821] [memory] feedback_backup_strategy
Tier 1 in-stack hourly+daily, Tier 2 off-machine via restic...
2. [0.6547] [post] post_142
Why solo founders need ruthless backup discipline...
3. [0.5912] [memory] project_disaster_recovery
2026-05-05 incident: postgres-local volume wiped during Docker Desktop reinstall...