Takes one input (meeting, article, memo) and extracts it in parallel into three entities — person, entity, theme. Use this as the entry point for accumulating raw observation logs into a Markdown + Git LLM Wiki (Axis A immediate task 1). Writes to the wiki via Immediate Fold (append to existing page) by default; when a new page must be created or a duplicate-match decision is required, fires a Review Fold (fold-request event) instead.
Installation
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Takes one input (meeting, article, memo) and extracts it in parallel into three entities — person, entity, theme. Use this as the entry point for accumulating raw observation logs into a Markdown + Git LLM Wiki (Axis A immediate task 1). Writes to the wiki via Immediate Fold (append to existing page) by default; when a new page must be created or a duplicate-match decision is required, fires a Review Fold (fold-request event) instead.
license
MIT
knowledge-extract — Parallel extraction from one input into multiple entities
Position of this skill
The immediate task 1 of Axis A (how to accumulate knowledge). Converts meetings, articles, and memos into a structured set of wiki pages.
Related: docs/A-accumulation/03-multi-perspective.md, docs/A-accumulation/04-signal-scoring.md (immediate task 2 = meeting-signal-assess runs in parallel with this skill only for meeting inputs; it is a separate task).
1. What this skill solves
Take a single input (a meeting, an article, a memo) and decompose it in parallel from multiple perspectives into a form the wiki can reuse.
Perspective
Wiki output target
Examples
Person
people/{slug}.md
The meeting counterpart, the article's author, a person mentioned in a memo
Entity (company / project)
entities/{slug}.md (only when applicable)
The counterpart's company, a company mentioned in an article
Theme
themes/{slug}.md (append to observation log of an existing theme)
A theme raised in the meeting, the main topic of the article
So that all three perspectives can be extracted in one prompt, this skill is designed to finish in a single LLM call. Splitting the call into three perspective-wise calls gives the same result and is fine if preferred.
2. Design principles
One input → multiple parallel outputs: people / entities / themes are emitted in parallel within one task
Bias toward keeping candidates: do not drop candidates for being duplicates or low-resolution. Only drop a candidate when the edit would erase existing information, when there is a clear contradiction, when external input leaks in, or when the assertion has no backing
No overwrite — append only: all writes to existing pages are time-ordered appends (- YYYY-MM-DD: content). Past entries are never removed
Separation of raw / verified: every output from this skill is a raw observation log. Verified facts that have passed fact-checking are the responsibility of Axis B (long-form-analysis) (see docs/00-philosophy.md §4)
Immediate Fold first: appends to an existing page run immediately; new-page creation, duplicate-match decisions, and "the target section does not exist" cases are routed to Review Fold
Do not apply writing-humanizer-ja: the output of this skill is structured data. Naturalizing the prose is unnecessary — in fact, the mechanical format of the one-line summaries makes downstream aggregation easier
3. Execution flow
Input (inbox/<file>.md, or one file specified by an event payload)
│
▼
Stage 0: Preparation (scan themes/_index.md and people/_index.md)
│
▼
Step 1: Read the source, decide source_type / context
│
▼ (parallelizable)
├──────────┬──────────┐
▼ ▼ ▼
Step 2: Step 3: Step 4:
Person Entity / Theme match +
extraction project append to
(people) extraction observation log
(entities, (themes)
when applicable)
│ │ │
└────┬─────┴──────────┘
│
▼
Step 5: Append to log.md (a list of pages updated this run)
│
▼
Step 6: Flip the input file's status from pending to processed
│
▼
Done (Immediate Fold appended to 1-3 pages; any Review Fold candidates have been fired into events/queue/)
4. Prerequisite: minimum wiki layout
This skill assumes the following minimum wiki layout already exists. If a fresh clone does not have it, bootstrap it by copying these files from this repository's templates/ directory:
Copy from
Copy to
Purpose
templates/_inbox.md
inbox/<YYYY-MM-DD>-<slug>.md
Template for one input
templates/_theme-index.md
themes/_index.md
Active theme catalog (required)
templates/_theme.md
themes/<slug>.md
Per-theme page (add as needed)
templates/_person.md
people/<slug>.md
Person page (created after Review Fold approval)
templates/_entity.md
entities/<slug>.md
Entity page (created after Review Fold approval)
templates/_log.md
log.md
Append-only activity log (required)
Minimum-wiki bootstrap steps:
# Pick a wiki root and cd into itmkdir -p <wiki>
cd <wiki>
# Create the required directories + filesmkdir -p inbox people entities themes events/queue events/processed
cp <repo>/templates/_theme-index.md themes/_index.md
cp <repo>/templates/_log.md log.md
# Optionally prepare one initial themecp <repo>/templates/_theme.md themes/<first-theme>.md
That gives you themes/_index.md (required) + log.md (required) + one theme file + empty inbox / people / entities / events directories.
Do not copy the remaining three templates (_inbox.md / _person.md / _entity.md) at bootstrap time. Use them at the following moments:
Template
When to use
Copy to
templates/_inbox.md
Every time a new input is ingested
inbox/<YYYY-MM-DD>-<slug>.md
templates/_person.md
After a Review Fold approves a new person page (human judgment)
people/<slug>.md
templates/_entity.md
After a Review Fold approves a new entity page (human judgment)
entities/<slug>.md
Bootstrap only needs the minimal runtime. New inbox / person / entity files get added as they show up.
templates/_inbox.md (template for a new inbox file):
---
source_type: # meeting_note | article | manual_memo | external_web
date: YYYY-MM-DD
title:
status: pending
participants: # only when source_type=meeting_note
-
url: # only when source_type=article or external_web
context: # discovery | tracking | stakeholder | research | personal | other
---<body>
4.2 When the layout is incomplete
themes/_index.md missing → halt (Step 4's theme matching has no base to read)
log.md missing → auto-create as empty file and continue
events/queue/ missing → auto-create and continue
<wiki>/people/ or <wiki>/entities/ missing → auto-create and continue (person / entity extraction still runs; every new candidate goes to Review Fold)
5. Stage 0: preparation
Before execution, confirm the following three points.
5.1 Read the existing wiki index
ls <wiki>/people/ # existing people listls <wiki>/entities/ # existing entity (company / project) listcat <wiki>/themes/_index.md # existing theme list (YAML or Markdown)
This gives the analyst the material to decide "new page vs append to existing". Generate slug candidates in kebab-case English or romaji.
5.2 Confirm the input file's frontmatter
The input is <wiki>/inbox/<file>.md (or the .md file pointed to by an event payload's payload_ref). It should have these fields:
---source_type:meeting_note|article|manual_memo|external_webdate:YYYY-MM-DDtitle:<sourcetitle>status:pendingparticipants:# only when source_type=meeting_note-<name>(<affiliation>)url:# only when source_type=article or external_web---
If source_type is unset, halt the run and either ask a human to label it, or infer it from the body (when inferred, add source_type_inferred: true to the frontmatter).
5.3 Check the confidential area
When the input contains any of the following, exclude them from what gets written to the wiki side (people / entities / themes). Safer to not write them into the analysis artifact either:
Specific monetary figures / valuations / ratio numbers
External-stakeholder names / candidate-identifying information
Details of important decisions / decision processes
Specific compensation / individual HR-evaluation numbers
Email addresses / phone numbers / personal IDs / full raw transcripts
Specific undisclosed-strategy timelines
When in doubt, do not write to the wiki. Err on the safe side.
Fire a knowledge-fold-request event into events/queue/ (details in §12)
Do not create the new page via Immediate Fold
7.3 Granularity of the "Interactions" section
One interaction line is fact-based, no speculation. When speculation is included, mark it (speculation) explicitly.
Good example:
- 2026-04-20: [Acme AI Inc discovery meeting] Preparing a B2B SaaS in the AI agent governance space. Stated 4x growth in agent count over the last 6 months (source: inbox/2026-04-20-acme-ai-meeting.md)
Bad example (speculation leaks in):
- 2026-04-20: Growing fast and looks promising ← speculation, not fact-based
8. Step 3: entity / project extraction (entities/, when applicable)
8.1 Extraction condition
Run only when source_type is meeting_note, context is one of discovery / tracking / stakeholder, and a company name is identifiable.
For article or manual_memo, extract if a company is clearly the subject. If the call is uncertain, route to Review Fold.
8.2 Processing
Search <wiki>/entities/ by the company-name slug
If entities/{slug}.md exists (Immediate Fold):
Append one line to the trailing "Observation log" section
Search any existing external entity index (if you keep one):
If your organization keeps an external tracking catalog at <wiki>/external-entity-index/ or similar, check whether an entry already exists there
On a hit, append to its "Observation log" trailing section
No hit + the context is important entity-tracking:
Route to Review Fold (new-page creation requires human review)
Not a tracking context (personal memo / small talk): skip
8.3 Granularity of the "Observation log" section
Entity observation logs are fact-based. State phase changes (e.g. status: candidate → exploring) explicitly.
- 2026-04-20: [<input title>] 4x growth in agent count over the last 6 months; unmet pain in misbehavior monitoring. status: exploring (source: inbox/<source_file>)
9. Step 4: theme match + append to observation log (themes/)
9.1 Theme matching
Extract keywords from the input body (the LLM reads it and proposes theme candidates)
Match against existing themes in <wiki>/themes/_index.md
For each matched existing theme, append one line to the observation log (Immediate Fold)
For new theme candidates, route to Review Fold (adding a new theme is a human decision)
9.2 Granularity of the observation-log append
Append one line to the "Observation log" section of themes/{slug}.md. Do not write to the "Verified facts" section (this skill produces raw observations; verified facts are Axis B's responsibility).
# Observation log (raw)- 2026-04-20: [Acme AI Inc discovery meeting] In the AI agent governance space, misbehavior-monitoring pain has surfaced; observed in a customer in the agent-count-spike phase (source: inbox/2026-04-20-acme-ai-meeting.md)
When multiple themes match, append one line to each theme file.
9.3 When the section does not exist
If themes/{slug}.md lacks an "Observation log" section, do not Immediate Fold; route to Review Fold (a human decides the section design).
10. Step 5: append to log.md
Append one block to the tail of <wiki>/log.md summarizing this run.
## [2026-04-20] ingest | Acme AI Inc discovery meeting- source: inbox/2026-04-20-acme-ai-meeting.md
- New candidates (consolidated into Review Fold): people/jane-doe.md, people/john-smith.md, entities/acme-ai-inc.md
- Appended (Immediate Fold): themes/agent-governance.md (1 observation-log line)
- Review Fold fired: **1 event (a single fold-request bundling all 3 candidates)**: events/queue/<event-id>.md
- Immediate Fold applied: 1
- Gist: B2B SaaS in AI agent governance; misbehavior-monitoring pain surfacing in customers in the agent-count-spike phase
The log is append-only. Existing entries are not touched.
11. Step 6: update input file / event status
Branch based on the trigger (direct inbox vs event).
11.1 Direct inbox trigger (the file was processed directly while status: pending)
Flip the input file's (inbox/<file>.md) status from pending to processed.
---source_type:meeting_notedate:2026-04-20title:AcmeAIIncdiscoverymeetingstatus:processed# ← updated from pendingprocessed_at:2026-04-20T16:00:00+09:00processed_by:knowledge-extract---
11.2 Event-triggered (started from a knowledge-extract event in events/queue/)
Update both:
Update the input file's status (same procedure as §11.1, on the file pointed to by payload_ref)
Move the event file: mv events/queue/<event-id>.md events/processed/<event-id>.md (leaving it in queue/ causes reprocessing)
Alternatively, in implementations that do not use events/processed/, add event_status: processed and processed_at: <ISO 8601> to the event-file frontmatter to mark completion in-queue.
11.3 In either path
This prevents duplicate processing the next time knowledge-extract runs.
12. Review Fold event fire format
When Review Fold is required for any of new-page creation / duplicate-match decision / missing section / confidential-area judgment, create the following event file in events/queue/.
---
id: evt-<UUIDortimestamp>
scope: <wikiscope, e.g.personal / team / org>
source: knowledge-extract
target: <reviewingrole, e.g.research / knowledge-owner>
type: knowledge-fold-request
priority: normal # low / normal / high (use high when a confidentiality decision is pending)
created: 2026-04-20T16:00:00+09:00
payload_ref: inbox/<source_file>
chain_depth: 0
---
# Knowledge Fold Request: <inputtitle>## Fold candidates### New-page candidates- people/jane-doe.md - Acme AI Inc CEO, appeared as meeting counterpart
- people/john-smith.md - Acme AI Inc CTO, appeared as meeting counterpart
- entities/acme-ai-inc.md - B2B SaaS in agent governance space, status: candidate
### Existing-page append candidates (where Immediate Fold was uncertain: 3+ files / missing section / pending confidentiality decision, etc.)- themes/<candidate-theme>.md - target section missing; a human must decide section design
## Inferred category
people / entities / themes / decisions / ideas (which one, with reasoning)
## Gist
Summary in 5 lines or fewer
The receiving side (a human, or the weekly aggregation task) reviews and folds into the wiki.
Treat completion as conditional on all of the following.
Input frontmatter completeness: source_type, date, title, status are present (Stage 0)
Coverage of the 3 perspectives: people / entities (when applicable) / themes have either been extracted, or "not applicable" is stated explicitly (Steps 2-4)
Immediate Fold rule compliance: every page Immediate-Fold-appended is an existing page, and the target section is one of "Interactions" (people) / "Observation log" (entities, themes). New-page creation and writes to the "Verified facts" section go only via Review Fold
Review Fold event completeness: every fired fold-request event has the 9 fieldsid, scope, source, target, type, priority, created, payload_ref, chain_depth plus the body (fold candidates / inferred category / gist)
Appended lines are fact-based: every appended line follows the format YYYY-MM-DD: [input title] <one fact-based sentence> (source: <source_file>). Any speculation is explicitly marked (speculation)
Confidential area excluded: the checklist in §5.3 has not leaked into the wiki side
log.md appended: the corresponding ingest entry has been added as one block to <wiki>/log.md
Input file status updated: the input file's status has been flipped from pending to processed
Event trigger marked processed (only for event-triggered runs): events/queue/<event-id>.md has been moved to events/processed/<event-id>.md, or the event-file frontmatter has been given event_status: processed and processed_at (see §11.2; an event left in queue/ causes duplicate execution)
14. Synthetic example — processing an Acme AI Inc discovery meeting
14.1 Input (inbox/2026-04-20-acme-ai-meeting.md)
---
source_type: meeting_note
date: 2026-04-20
title: Acme AI Inc discovery meeting
status: pending
participants:
- Jane Doe (Acme AI Inc CEO)
- John Smith (Acme AI Inc CTO)
context: discovery
---# Acme AI Inc discovery meeting
Participants: Acme AI's Jane Doe (CEO) and John Smith (CTO).
Topic: Acme AI is preparing a B2B SaaS in the agent governance space.
Agent count grew from 300 to 1,200 over the last 6 months, but misbehavior monitoring is thin.
The note-taker stated, "agent governance is on our theme-tracking list."
14.2 Stage 0 confirmation (pre-state)
people/jane-doe.md / people/john-smith.md do not exist → new candidates
entities/acme-ai-inc.md does not exist → new candidate
agent-governance exists in themes/_index.md → existing theme
---
name: agent-governance
status: active
---# Overview
A theme covering operational governance / misbehavior monitoring / behavioral constraints of AI agents.
# Observation log (raw)- 2026-03-15: [<anothermeeting>] Monitoring needs at the 100+ agent scale surfaced (source: inbox/2026-03-15-...)
- 2026-04-05: [<anotherarticle>] An OSS agent-orchestrator announced a new feature (source: inbox/2026-04-05-...)
→ The "Observation log" section exists on the existing page (no new-section creation needed; eligible for Immediate Fold)
context: discovery → Step 3 (entity extraction) is in scope
people/john-smith.md — new candidate → Review Fold
No Immediate Folds (the existing pages do not exist).
14.5 Step 3 output (entity / project)
entities/acme-ai-inc.md — new candidate → Review Fold
14.6 Step 4 output (theme match, applied via Immediate Fold)
Append one line to the "Observation log" section of themes/agent-governance.md.
Before (pre-state, as confirmed in §14.2):
# Observation log (raw)- 2026-03-15: [<anothermeeting>] Monitoring needs at the 100+ agent scale surfaced (source: inbox/2026-03-15-...)
- 2026-04-05: [<anotherarticle>] An OSS agent-orchestrator announced a new feature (source: inbox/2026-04-05-...)
After (post-state, after applying Immediate Fold):
# Observation log (raw)- 2026-03-15: [<anothermeeting>] Monitoring needs at the 100+ agent scale surfaced (source: inbox/2026-03-15-...)
- 2026-04-05: [<anotherarticle>] An OSS agent-orchestrator announced a new feature (source: inbox/2026-04-05-...)
- 2026-04-20: [Acme AI Inc discovery meeting] Misbehavior-monitoring pain surfacing in the AI agent governance space; observed in a customer in the 4x-agent-growth-in-6-months spike phase (source: inbox/2026-04-20-acme-ai-meeting.md)
No overwrite — one line appended in time order at the tail.
14.7 Step 5 log.md append
## [2026-04-20] ingest | Acme AI Inc discovery meeting- source: inbox/2026-04-20-acme-ai-meeting.md
- New candidates (consolidated into Review Fold): people/jane-doe.md, people/john-smith.md, entities/acme-ai-inc.md
- Appended (Immediate Fold): themes/agent-governance.md (1 observation-log line)
- Review Fold fired: **1 event (a single fold-request bundling all 3 candidates)**: events/queue/evt-20260420-knowledge-fold.md
- Immediate Fold applied: 1
- Gist: B2B SaaS in AI agent governance; misbehavior-monitoring pain in agent-count-spike customer
---
id: evt-20260420-knowledge-fold
scope: personal
source: knowledge-extract
target: research
type: knowledge-fold-request
priority: normal
created: 2026-04-20T16:00:00+09:00
payload_ref: inbox/2026-04-20-acme-ai-meeting.md
chain_depth: 0
---
# Knowledge Fold Request: Acme AI Inc discovery meeting## Fold candidates### New-page candidates- people/jane-doe.md - Acme AI Inc CEO, first interaction via the Acme AI Inc discovery meeting
- people/john-smith.md - Acme AI Inc CTO, first interaction via the Acme AI Inc discovery meeting
- entities/acme-ai-inc.md - B2B SaaS in the agent governance space, status: candidate, context: discovery
### Existing-page append candidates (where Immediate Fold was uncertain: 3+ files / missing section / pending confidentiality decision, etc.)
None (all Immediate Fold candidates have been applied)
## Inferred category- people: 2 new
- entities: 1 new
## Gist
First meeting with Jane Doe (CEO) and John Smith (CTO) of Acme AI Inc. B2B SaaS in the AI agent governance space; 4x agent-count growth over the last 6 months; misbehavior-monitoring pain has surfaced.
14.10 Relationship to immediate task 2 (meeting-signal-assess)
This skill is immediate task 1. For meeting-style inputs, after this skill completes, immediate task 2 (meeting-signal-assess, see docs/A-accumulation/04-signal-scoring.md) runs in parallel. The two tasks do not depend on each other's outputs and may execute in parallel. For article / memo inputs, only this skill runs (see docs/A-accumulation/03-multi-perspective.md §1).
15. Common misunderstandings
Q1. "Even if the person is new, can't Immediate Fold create the page?"
No. New-page creation always routes to Review Fold. Two reasons:
Slug-collision judgment is hard without a human in the loop (same name, transliteration drift)
For a new person, there is usually not enough information yet (better to accumulate a few interactions via Review Fold first)
Q2. "Same for a new theme — Review Fold?"
Yes. Adding a new theme is a structural change to the wiki, so do not run it immediately. Route to Review Fold and let a human decide whether this is a new theme or an observation-log append on an existing theme.
Q3. "When confidential information is mixed in, is it OK to leave the input as-is in inbox?"
inbox is a staging area. It is acceptable to leave confidential content there (the canonical wiki side is what does not get written). However, when long-term retention is needed for confidential content, moving it to dedicated storage is recommended.
Q4. "Should I apply writing-humanizer-ja?"
No. The output of this skill is structured data and needs no natural-prose style. Keeping the mechanical format (- YYYY-MM-DD: [title] <summary> (source: ...)) makes downstream knowledge-consolidation (weekly aggregation) and query-fold-batch easier to parse.
