wiki_capture

Solid

KTX's knowledge base - wiki pages for durable, reusable business knowledge. Covers capture workflow for user preferences, metric definitions, organizational conventions, and cross-references between wiki pages and semantic-layer sources. Loaded by the post-turn memory-agent only. The research agent reads wiki via `wiki_read`/`wiki_search` but does not write it.

AI & Automation 733 stars 42 forks Updated today Apache-2.0

Install

View on GitHub

Quality Score: 95/100

Stars 20%
95
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Wiki Capture ## Role The knowledge base stores durable, reusable business knowledge for an analytics assistant. Each page is a self-contained rule, definition, or convention that answers "how should this concept be handled in this organization?" - written once and reused across chats. Scope selection is handled by the runtime: - When user-scoped knowledge is enabled AND the caller is a chat turn, writes go to the user's **personal** scope. - When the caller is an admin-driven ingest (`sourceType: 'external_ingest'`), writes go to the **global** scope. - When user-scoped knowledge is disabled, all writes go to the global scope. The `wiki_write` tool picks the right scope based on the session. Capture logic does not need to choose - focus on whether the content is worth capturing at all. ## What to capture Capture when the user or the ingested document expresses: - A metric definition ("revenue means booked revenue after refunds"). - A filter or convention that should always apply ("exclude test accounts when reporting ARR"). - A mapping or alias ("mood_stress_sleep = Oxytocin protocol"). - A domain rule that is not visible from column names alone ("status = 'T' means terminated, not 'terminated'"). - A link or external system convention ("medplum_patient_id is the primary key in the EMR at https://emr.example/patients/{id}"). Do NOT capture: - One-off requests ("answer under 100 words"). - Temporary instructions scoped to the current chat. - Ad-hoc formatting preferen...

Details

Author
Kaelio
Repository
Kaelio/ktx-ai-data-agents-mcp-context-skills
Created
3 weeks ago
Last Updated
today
Language
TypeScript
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

wiki_capture

KTX's knowledge base - wiki pages for durable, reusable business knowledge. Covers capture workflow for user preferences, metric definitions, organizational conventions, and cross-references between wiki pages and semantic-layer sources. Loaded by the post-turn memory-agent only. The research agent reads wiki via `wiki_read`/`wiki_search` but does not write it.

733 Updated today
Kaelio
AI & Automation Solid

notion-knowledge-capture

Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.

27,705 Updated today
davila7
AI & Automation Listed

notion-knowledge-capture

Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.

335 Updated today
aiskillstore
AI & Automation Listed

notion-knowledge-capture

Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.

1 Updated today
HGGodhand33
AI & Automation Listed

kg-capture

Knowledge capture rules. Capture mid-conversation, not after — context is cached, so a write costs almost nothing now but saves full re-derivation next session. Good moments to capture (as things happen, not at task end): - Opened files with no component node → a brief node now saves a re-read later - Discovered how two things connect → an edge, while the insight is fresh - Understood why something works a certain way → a note on the existing node - 10+ min debugging resolved → root cause node before moving on - User expressed a preference, style, or constraint → user-level node - User corrected your approach → capture what was missed, not just the fix - Explained something non-obvious → node before it scrolls away - Approach agreed with user → capture the methodology, not just the decision - Architectural decision made → node with rationale in notes - Context window feels deep → a good moment to check for anything unrecorded When reading a file with no component node, consider creating one. Gist = what it ha

1 Updated 5 days ago
mironmax