flonat/flonat-research/compile-knowledge

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Compile literature, meeting notes, session logs, and code findings into a structured per-project knowledge wiki. Use when project evidence is scattered across source records and needs synthesis into durable articles. Not for promoting existing articles into the global vault wiki; use $wiki-grow.

Install

npx vskill@latest install flonat/flonat-research/compile-knowledge

SKILL.md

Compile Knowledge

Reads raw inputs from a project and compiles/updates a knowledge/ wiki — a collection of LLM-maintained markdown articles that synthesise everything known about the project's domain.

When to Use

  • After a literature review to consolidate findings
  • After a series of sessions on a project to build up the knowledge base
  • When starting work on a project and wanting to understand the state of knowledge
  • Periodically to keep the knowledge wiki fresh

When NOT to Use

  • For structural project audits — use an installed research-project audit workflow
  • For atlas topic metadata — that stays in the vault
  • For session-specific notes — those go in log/

Architecture

The knowledge wiki lives at <project>/knowledge/:

knowledge/
_index.md ← auto-maintained index with brief summaries
concept-name.md ← one article per concept
concept-name-2.md

The LLM owns this directory. the user rarely edits it directly. The value is in the compilation — connecting dots across sources that no single document contains.


Modes

ModeInvocationBehaviour
Interactive (default)compile-knowledge [project-path]Phases run normally; mid-run nudges allowed where useful; end-of-run summary requires no confirmation but the user can inspect output and re-run.
Autonomouscompile-knowledge [project-path] --autonomous (or -y)End-to-end run with zero prompts. All decisions take the documented default. Single end-of-run summary is the only user-facing output. Used by the Saturday wiki-grow cron to refresh project knowledge before the wiki-promotion pass.
Autonomous-mode defaults (every choice point)

When --autonomous / -y is set, the skill takes these defaults silently:

Choice pointDefault
Project path unresolved (CWD not a research project)Fail with a single one-line error to stderr. Do not prompt for path.
No sources found in Phase 1Skip remaining phases; emit No sources to compile. and exit clean.
Concept granularity uncertainPrefer 400-600 word articles, specific scope over generic. Err on the side of fewer, sharper concepts.
Article exists but scope shiftedUpdate in place when overlap ≥50% with new finding; create new article only when genuinely orthogonal.
Contradictions between sourcesFlag explicitly in prose ("Source A says X, Source B says Y") — never silently pick a side.
Source can't be parsed (encoding, malformed)Log to the Gaps section in _index.md; continue with remaining sources.
Atlas topic match in Phase 5 is 0 or >1Skip silently (already documented in Phase 5.4).
Article exceeds 1000 wordsSplit into two articles by sub-theme; never truncate findings.
Autonomous-mode does NOT change
  • Knowledge-article quality contract: every claim must cite its source. Unverifiable claims get [UNVERIFIED] per the global rule.
  • Phase 5 atlas frontmatter sync: still writes knowledge_last_compiled on every run.
  • Read-only access to data/raw/ per the global data-sensitivity rule.
  • Per-project MEMORY.md / CLAUDE.md are NEVER edited by this skill.

If any of the above fails (e.g. an [UNVERIFIED] flag couldn't be applied due to a write error), include the failure in the end-of-run summary rather than blocking.


Phase 1: Locate Project and Scan Sources

  1. Resolve project path (CWD or argument)
  2. Scan for raw inputs:
SourceLocationWhat to extract
Literature reviewsdocs/literature-review/Paper summaries, key findings, research gaps
Meeting notesmeeting-notes/ or to-sort/ recapsDecisions, insights, action items
Session logslog/Research progress, discoveries, pivots
MEMORY.mdProject rootNotation, decisions, pitfalls, domain corrections
Atlas topic file~/vault/atlas/<theme>/<slug>.mdStatus, connected topics, research questions
Code README/commentscode/, src/What the code does, key algorithms
Paper sectionspaper-*/paper/*.texCurrent argument structure, contributions
.context/project-recap.md.context/Project overview, current state
  1. Report source inventory:

`` Sources found: Literature: 12 papers in docs/literature-review/ Sessions: 8 logs in log/ Memory: 14 entries in MEMORY.md Paper: 3 sections drafted Code: 2 scripts in code/python/ ``

Phase 2: Identify Concepts

Read all sources and extract a concept list — the key ideas, methods, datasets, theories, and phenomena that the project deals with.

Concept granularity: Each concept should be specific enough to warrant its own article (~200-1000 words). Too broad = useless summary. Too narrow = fragmented.

Examples of good concepts:

  • mechanism-design-for-audits.md (a specific method applied to the project's domain)
  • collusion-detection-methods.md (a family of techniques relevant to the project)
  • eu-ets-carbon-market.md (institutional context)
  • callaway-santanna-estimator.md (a specific estimator used)

Examples of bad concepts:

  • introduction.md (too structural — that's the paper's job)
  • regression.md (too generic)
  • table-3.md (too narrow)

Phase 3: Compile Articles

For each concept, create or update knowledge/<concept-name>.md:

markdown
# <Concept Name>
> One-sentence summary of what this concept is and why it matters to the project.
## Key Findings
-Bullet points synthesising what is known from all sources
-Each finding should cite its source: (Author Year) or (session log YYYY-MM-DD)
-Flag contradictions: "Source A says X, but Source B says Y"
## Open Questions
-What is not yet known or resolved
-Questions that emerged from the literature but aren't answered
-Methodological choices that remain open
## Sources
| Source | Type | Key contribution |
|--------|------|-----------------|
| Author (Year) | Paper | Finding X |
| Session 2026-03-15 | Log | Discovered Y |
| MEMORY.md | Decision | Chose Z because... |
## Related
-[[other-concept]] — how they connect
-Atlas: `<topic-slug>` — link to atlas topic if relevant

Rules:

  • Be specific and factual — no filler prose
  • Cite sources for every claim
  • Flag contradictions explicitly rather than silently picking one side
  • Keep articles between 200-1000 words
  • Use [[wikilink]] syntax for cross-references between knowledge articles

Phase 4: Update Index

Write or update knowledge/_index.md:

markdown
# Knowledge Index
> Auto-maintained by `compile-knowledge`. Last updated: YYYY-MM-DD.
> N articles, ~X words total.
## Articles
| Article | Summary | Sources | Last updated |
|---------|---------|---------|-------------|
| [Concept A](concept-a.md) | One-line summary | 3 papers, 2 sessions | YYYY-MM-DD |
| [Concept B](concept-b.md) | One-line summary | 1 paper, 1 decision | YYYY-MM-DD |
## Source Coverage
| Source type | Count | Compiled into articles |
|------------|-------|----------------------|
| Papers | 12 | 10 (2 not yet compiled) |
| Session logs | 8 | 5 (3 not yet compiled) |
| Memory entries | 14 | 12 |
## Gaps
-[List concepts that should exist but don't yet]
-[Sources not yet compiled into any article]

Phase 5: Atlas frontmatter sync

After writing _index.md, also update the atlas topic frontmatter so the project's compile date is discoverable from outside the project (e.g. by session-close, the wiki promotion cron, atlas-workspace).

  1. Resolve the atlas topic: grep -rl "project_path:.*$(basename "$PWD")" ~/vault/atlas/
  2. If a single match is found, set or update the frontmatter field

knowledge_last_compiled: YYYY-MM-DD (today's date in UTC).

  1. If the field already exists, overwrite. If absent, insert before the

closing ---.

  1. If 0 or >1 atlas topic files match, skip silently and log to the

end-of-run summary (Atlas frontmatter sync: skipped — N matches).

The field is consumed by:

  • session-close (info-only freshness line via

references/research-checks.md § 18)

  • The Saturday wiki-grow cron (uses the date to schedule re-promotion)
  • atlas-workspace (could surface in topic-page metadata row in future)

Phase 6: Incremental Mode

When run on a project that already has knowledge/:

  1. Detect new sources since last compilation (check _index.md last-updated date vs source file modification dates)
  2. Only process new/modified sources
  3. Update existing articles with new findings (append, don't rewrite)
  4. Create new articles only for genuinely new concepts
  5. Update _index.md
  6. Update atlas frontmatter knowledge_last_compiled (Phase 5)

Report:

Knowledge updated:
Articles updated: 3 (concept-a, concept-b, concept-c)
Articles created: 1 (new-concept)
Sources processed: 4 new since last compile
Total: N articles, ~X words

Output

Print summary after compilation:

Knowledge compiled for <project-name>:
Articles: N (M new, K updated)
Total words: ~X
Sources compiled: Y / Z total
Gaps: [list any uncompiled sources]
Index: knowledge/_index.md

Cross-References

SkillRelationship
store-insightLightweight single-finding filer — called by other skills
knowledge-lintChecks compiled knowledge for inconsistencies
literature (pipeline mode)Produces literature reviews that feed into compilation
session-closeExtracts session insights and files them via store-insight

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
144
Repository forks
27
7-day trend score
25

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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