Tacit.knowledge

Skill sangmin7648/tacit/skills/tacit.knowledge

Harness tacit knowledge into the context of AI agent with on device always-on transcription

Install

npx -y skills add sangmin7648/tacit --skill tacit.knowledge

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What its author says it does

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Query the local tacit knowledge database (~/.tacit/) for relevant context. TRIGGER when: user asks about topics that might have been previously captured — past conversations, meetings, decisions, ideas, learnings, or any domain knowledge. Also trigger when the user's question could benefit from previously stored knowledge context, even if they don't explicitly ask for it. DO NOT TRIGGER when: purely code-editing tasks, git operations, or questions clearly unrelated to stored knowledge.

SKILL.md

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tacit Knowledge Base Query

You are retrieving relevant knowledge from the user's local tacit knowledge database using the tacit CLI.

Available Commands

tacit list [duration]                    — List entries created within duration (default: 1h). Supports: 30m, 1h, 24h, 1d, 7d, 2w
tacit search [--duration <d>] <pattern>  — Full-text search across all entries (title + summary + content). Optional --duration limits to entries created within that window.
tacit get <file-path>                    — Print full content of a specific entry

Process

When the user invokes /tacit.knowledge <prompt>, extract the time window from the prompt if mentioned (e.g. "today", "this week", "last hour"). If no time is specified, default to 1h for list.

Step 1 — Run list agent and search agent IN PARALLEL

List agent — retrieves recent entries:

tacit list <duration>

Use the time window from the prompt if specified; otherwise use 1h
Parse the output: each entry has [datetime] category / title, File: <path>, and optionally Summary: <first line>
Collect all file paths from the output

Search agent — finds topically relevant entries:

Extract 2–4 keywords from the user's prompt (nouns, domain terms, key verbs)
Run tacit search <keyword> for each keyword to maximize recall. If a time window was identified, pass --duration <d> to narrow results (e.g. tacit search --duration 1h <keyword>)
Collect all unique file paths from results
Deduplicate across keywords

Each agent returns: a list of { file_path, title, category, created_at, summary_snippet } objects.

Step 2 — Merge results

In the main thread:

Union the file paths from both agents, deduplicated
If a file path appears in both, it is high-confidence relevant — prioritize it
Limit to the 5 most relevant entries to avoid context overload (prefer recent + multi-source matches)

Step 3 — Fetch full content for top entries

Run a single command with all selected file paths at once:

tacit get <file-path-1> <file-path-2> <file-path-3> ...

This returns all entries in one output, separated by ---. Read the Summary section first. Include the Content (raw STT) only if the user's question requires detail or the summary is insufficient.

Step 4 — Respond

Synthesize the retrieved knowledge into a direct answer to the user's prompt:

Reference each entry by title and date
Use summary for concise context; raw content only when needed
If no relevant entries are found, briefly note this and answer from general knowledge

Important

Knowledge content is captured from real-time speech (STT) — expect transcription artifacts
Do NOT fabricate knowledge entries — only reference what actually exists
The Summary section is the AI-processed version; Content is raw STT output
tacit search supports regex-compatible patterns — you can use tacit search "키워드1\|키워드2" to search multiple terms at once
tacit search --duration accepts the same units as tacit list: 30m, 1h, 24h, 1d, 7d, 2w