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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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...