Agent skill

Consolidate Notes

by inkeep in inkeep/open-knowledge

Promote existing research into a stable-status canonical article under articles/ in a Knowledge Base project (the knowledge-base starter pack).

GPL-3.0Auto-check passedKnowledge Management

Install Consolidate Notes

skills CLI
$ npx skills add inkeep/open-knowledge --skill consolidate-notes -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install inkeep/open-knowledge consolidate-notes --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/inkeep/open-knowledge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/server/assets/skills/packs/knowledge-base/consolidate .claude/skills/consolidate-notes && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
consolidate-notes
GitHub stars
4.4k
Token cost
~2.3k tokens
SKILL.md length
1,070 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
GPL-3.0

At a glance

Promote existing research into a stable-status canonical article under articles/ in a Knowledge Base project (the knowledge-base starter pack).

  • Works in 6 steps: Load the research + sources → Re-confirm the decision → Write the canonical article → …
  • Tasks that involve Knowledge bases
  • SKILL.md covers STOP gate: has a decision…, When to use this procedure, Principle: canonical, not… and Steps, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Consolidate Notes is an agent skill from inkeep/open-knowledge. Promote existing research into a stable-status canonical article under articles/ in a Knowledge Base project (the knowledge-base starter pack). Read when a decision has actually been made and the team wants the source-of-truth written down, or when asked to consolidate, canonicalize, promote research, or supersede an older article. Carries the decision-confirmation gate, the supersedes: chain that keeps the evidence trail intact, and the canonical voice. Does not conduct new research — that is the sibling…

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Any agent host with the OpenKnowledge MCP server configured. Installed project-local by ok seed --pack knowledge-base.

It sits in Knowledge Management, covering Knowledge bases. The repository describes itself as: Beautiful, AI-native markdown IDE and LLM wiki. The licence is GPL-3.0.

When your agent uses it

  • Tasks that involve Knowledge bases

Example prompts

  • “/consolidate-notes”

Requirements

  • Compatibility (from SKILL.md): Any agent host with the OpenKnowledge MCP server configured. Installed project-local by `ok seed --pack knowledge-base`.

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Load the research + sources
  2. Re-confirm the decision
  3. Write the canonical article
  4. Link aggressively
  5. Supersede the research
  6. Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 85688b8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Any agent host with the OpenKnowledge MCP server configured. Installed project-local by `ok seed --pack knowledge-base`.

    From compatibility in the SKILL.md frontmatter.

Context cost

Consolidate Notes loads about 2.3k tokens when it runs. Until then it costs about 141 tokens; SKILL.md has 1,070 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from inkeep/open-knowledge at commit 85688b8, republished under its GPL-3.0 licence (© inkeep). 1,070 words, ~2,339 tokens.

Download SKILL.mdSave it as .claude/skills/consolidate-notes/SKILL.md (or your agent's skills folder).
name
consolidate-notes
description
Promote existing research into a stable-status canonical article under `articles/` in a Knowledge Base project (the `knowledge-base` starter pack). Read when a decision has actually been made and the team wants the source-of-truth written down, or when asked to consolidate, canonicalize, promote research, or supersede an older article. Carries the decision-confirmation gate, the `supersedes:` chain that keeps the evidence trail intact, and the canonical voice. Does not conduct new research — that is the sibling `research-with-sources` skill.
compatibility
Any agent host with the OpenKnowledge MCP server configured. Installed project-local by `ok seed --pack knowledge-base`.
type
Document
metadata.pack
knowledge-base
metadata.author
Inkeep
metadata.repository
https://github.com/inkeep/open-knowledge-skills

Consolidate — promote research into a canonical article

This skill is pack guidance. The platform /open-knowledge skill (read/write/preview/linking/grounding rules) still governs every markdown operation — this layers the procedure on top.

Promote existing research on a topic into a canonical article under articles/. Canonical, not provisional — the output is the source of truth for future agents, not a snapshot of uncertainty.

The content directory is the resolved content.dir — read it with config({ key: 'content.dir' }) if you don't already know it. Paths below are relative to it.

Legacy reads: Existing research and articles may use status: provisional / canonical, and existing sources: may contain string paths. Treat those as draft / stable and source resources. Do not mass-rewrite them; new writes use the OKF forms below.

STOP gate: has a decision actually been made?

Consolidation is promotion, not creation. If the team hasn't decided, the resulting "canonical" article lies about the team's state of understanding — future agents read it, act on it, and the false certainty compounds.

Before any write, confirm out loud with the user:

  • What is the actual decision? (e.g., "We chose Yjs for CRDT" — not "Yjs is one option")
  • What alternatives were considered and rejected? (these go in "Alternatives considered," not as equals)
  • What's the rationale the team used? (not your reconstruction from sources)

If the decision is still open, do not consolidate. Tell the user: "The research is still provisional. When the team decides, come back and consolidate with the outcome." Then stop.

When to use this procedure

  • A team has made a decision after research and wants the outcome committed as canonical knowledge
  • You want to compact several provisional research notes into one authoritative article
  • A developer asks to "consolidate" or "finalize" the knowledge on a topic

Do NOT consolidate when:

  • The team has not actually decided (the output would be misleading — keep it as research)
  • You have not read the underlying sources (the output would lack evidence)

Principle: canonical, not provisional

A consolidated article is the source of truth. Agents reading it should not need to dig further for context — it should stand on its own. That means:

  • Clear, direct statements (no "tentative", no "initial findings")
  • Decisions stated as decisions, not options
  • Rationale explained so future readers understand the why
  • Trade-offs acknowledged but framed against the chosen path, not as a menu
  • Evidence linked but not the whole story — this article is the destination, not a trail

Steps

1. Load the research + sources

Locate research articles on this topic:

  • Use exec("grep -rn <topic-keyword> <content-dir>") to find prior research, or exec("ls -A research") if the project groups research in a known location
  • Read each research article fully via exec("cat <path>") (rich enrichment gives frontmatter + shadow-repo activity + project git history + backlinks)
  • Follow its sources: frontmatter list — read every referenced source file
  • Also read any existing canonical article on the topic — if one already exists, you may be updating it rather than creating a new one

If there is no research to consolidate, stop. Consolidation is promotion, not creation. Do the /research-with-sources skill first.

2. Re-confirm the decision

You already confirmed the decision at the STOP gate at the top. This step is a brief re-check after loading the research in Step 1 — occasionally the research surfaces something that makes the "decision" look less decided than the user initially claimed (an un-rebutted open question, an alternative they forgot about). If the loaded research reveals that, pause and re-confirm with the user before writing.

Show full SKILL.md (499 more words)Show less
3. Write the canonical article

Persist as you go (MUST). For a large consolidation drawing on several research docs, create the article skeleton — frontmatter + the headings below — first, then edit each section in as you finish it; don't hold the whole synthesis in context for one final write. A rate limit or crash mid-synthesis then costs you one section, not the entire article. (The platform skill's Writing section carries this rule for all long-running work: the knowledge base is your checkpoint.)

Save inside the content directory. Path convention depends on the project:

  • If the project uses the three-layer lifecycle (external-sources/ → research/ → articles/), save under articles/, grouped by topic subfolder when the area is broad (e.g., articles/editor/crdt-architecture.md)
  • If the project has an existing canonical-docs layout (docs/, guides/, etc.), save there in a location that matches the project's conventions
  • Ask the user when the canonical location is ambiguous

Frontmatter:

yaml
---
title: Descriptive title
description: One-line summary of what this article covers
type: article
status: stable
date: YYYY-MM-DD
tags:
  - article
  - canonical
  - topic-tag
supersedes:
  - <path-to-research-article>.md
---

Structure:

markdown
## Summary

[One paragraph: what the decision is and why. A reader who reads only this paragraph should know the outcome.]

## Context

[What problem does this solve? What constraints shaped the decision?]

## Decision

[The chosen approach, stated directly. Not "we recommend" — "we chose".]

## Rationale

[Why this path over alternatives. Grounded in the constraints from Context.]

## Trade-offs

[What we gave up by choosing this path. Frame against the chosen decision, not as a menu.]

## Alternatives considered

[Briefly: what else was on the table, why it was rejected. Link to the research article for deeper analysis.]

## Implementation notes

[How this gets realized in the codebase — key files, patterns, gotchas.]

## Further reading

[Links to research articles and external sources for readers who want the trail.]

Canonical articles are destinations — they should be linked heavily from everywhere they're relevant and link out to every related page themselves. Underlinked canonical articles lose most of their value.

  • Inside this article: every noun-phrase that names another document (other canonical articles, related research, external-source pages, sibling topics) should be a standard markdown link, not plain prose.
  • Every link must resolve. Only link to docs that exist. If you mention a concept that should have its own page but doesn't yet, do NOT emit a broken link — either create that page in this pass, or record it as a tracked task (your host's task tool; if the host has none, tell the user) and leave the mention as plain prose. A broken link is debt, not a to-do marker.
  • Update neighbors. After writing, find 2-3 closely-related existing pages (via exec("grep -rn <topic> <content-dir>")) and add a link to the new article from each — usually under a "See also" section or inline where the new article is relevant. This makes the article discoverable via backlinks, not just by remembering the path.
  • Link to the sources and superseded research from "Further reading" — readers who want the trail can follow.
5. Supersede the research

Add a supersedes: list in the new article's frontmatter pointing at the research article(s) it consolidates. This creates an audit trail.

Do NOT delete the research articles — they remain as historical context for how the decision was reached. Edit their frontmatter to add:

yaml
status: deprecated
superseded_by: <path-to-new-canonical-article>.md
6. Verify
  • File exists at the chosen path under the content directory
  • Has type: article and status: stable frontmatter
  • Lists the research articles it supersedes
  • Research articles updated with status: deprecated and a superseded_by pointer
  • exec("ls -A <target-dir>") shows the new file

Non-goals

  • Don't consolidate research that hasn't reached a decision — the article would misrepresent the team's actual state of understanding
  • Don't delete research articles — they are the trail; keep them with a superseded_by marker
  • Don't rewrite research prose verbatim — canonical articles have a different voice (direct, decided) than research (exploratory, provisional)
  • Don't skip the supersedes / superseded_by links — the audit trail matters for future readers

© inkeep, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/server/assets/skills/packs/knowledge-base/consolidate of inkeep/open-knowledge.

Open the folder on GitHubat commit 85688b8

Compare with similar skills

Consolidate Notes next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Consolidate Notes compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Consolidate Notes this skillinkeep/open-knowledge4.4k—~2.3kAutomated safety check: PassGPL-3.0
Capture Conversationoutline/outline41k—~474Automated safety check: PassCustom licence
Project CairniBlinkQ/project-cairn2352 repos~861Automated safety check: PassMIT
LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything86k1 repos~1.5kAutomated safety check: PassMIT
Find And Citeoutline/outline41k—~537Automated safety check: PassCustom licence
Xhs Virtual Productchenjin-cmd/xhs-virtual-product727—~862Automated safety check: PassMIT

Similar skills

  • Capture Conversation

    outline/outline

    Save the current conversation, a decision, or a set of notes as a document in an Outline collection; use when the user wants to keep what was discussed in their knowledge base.

    41k GitHub stars~474 tokensUpdated today
    Knowledge ManagementAuto-check passed
  • Project Cairn

    iBlinkQ/project-cairn

    Standardize how an AI-collaboration project turns work into reusable knowledge.

    235 GitHub starsUsed in 2 repos~861 tokens
    Knowledge ManagementAuto-check passed
  • LLM Wiki Knowledge Graph

    Egonex-AI/Understand-Anything

    Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.

    86k GitHub starsUsed in 1 repo~1.5k tokens
    Knowledge ManagementAuto-check passed
  • Find And Cite

    outline/outline

    Answer questions from the Outline knowledge base with quotes and links to the source documents; use when the user asks what the team knows, documented, or decided about a topic.

    41k GitHub stars~537 tokensUpdated today
    Knowledge ManagementAuto-check passed
  • Xhs Virtual Product

    chenjin-cmd/xhs-virtual-product

    This skill helps plan, select, produce, and market Xiaohongshu (RED) virtual/digital products — templates, knowledge bases, test tools, study materials.

    727 GitHub stars~862 tokensUpdated 7 days ago
    Knowledge ManagementAuto-check passed
  • Openkb

    VectifyAI/OpenKB

    A skill your agent uses when the user asks about content in their OpenKB knowledge base — research topics, concepts compiled from their documents, cross-document synthesis — or mentions openkb, an…

    4.7k GitHub starsUsed in 1 repo~2k tokens
    Knowledge ManagementAuto-check: warnings

More from inkeep/open-knowledge

All 18 skills in this repo
  • Open Knowledge Discovery

    inkeep/open-knowledge

    Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an…

    4.4k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Open Knowledge Write Skill

    inkeep/open-knowledge

    A skill your agent uses when the user wants to create, author, write, or design a new Agent Skill (a SKILL.md) — for OpenKnowledge or for their editors — including requests like 'help me write a…

    4.4k GitHub stars~3.7k tokensUpdated today
    Auto-check passed
  • Write A Postmortem

    inkeep/open-knowledge

    Write a blameless incident postmortem under postmortems/ following the Google SRE shape — evidence-based timeline, trigger vs root cause vs symptom, contributing factors, what went well, and…

    4.4k GitHub stars~4.4k tokensUpdated today
    Auto-check passed
  • Codebase Wiki

    inkeep/open-knowledge

    How to work in a Codebase Wiki project (the codebase-wiki starter pack): an agent-authored, source-grounded wiki of the surrounding codebase.

    4.4k GitHub stars~1.8k tokensUpdated today
    Auto-check passed
  • Open Knowledge

    inkeep/open-knowledge

    Authoritative agent-runtime contract for working inside an OpenKnowledge project — a markdown-CRDT knowledge base exposed over MCP.

    4.4k GitHub stars~4.7k tokensUpdated today
    Auto-check passed
  • Frame A Proposal

    inkeep/open-knowledge

    Frame a new design proposal (RFC-shape) under proposals/ — problem before solution, named beneficiary and observable change, real alternatives, honest drawbacks, and a live open-questions backlog.

    4.4k GitHub stars~3.6k tokensUpdated today
    Auto-check passed

Questions about Consolidate Notes

What does Consolidate Notes do?

Promote existing research into a stable-status canonical article under articles/ in a Knowledge Base project (the knowledge-base starter pack). Consolidate Notes is an agent skill from inkeep/open-knowledge. Promote existing research into a stable-status canonical article under articles/ in a Knowledge Base project (the knowledge-base starter pack).

When should I use Consolidate Notes?

Consolidate Notes fits situations like: tasks that involve Knowledge bases.

How do I install Consolidate Notes in Claude Code?

Run `npx skills add inkeep/open-knowledge --skill consolidate-notes -a claude-code`. Or copy the skill folder (packages/server/assets/skills/packs/knowledge-base/consolidate in inkeep/open-knowledge) into .claude/skills/consolidate-notes in your project. Claude Code loads it when a task matches its description.

How do I install Consolidate Notes in Codex?

Run `npx skills add inkeep/open-knowledge --skill consolidate-notes -a codex`. Or copy the skill folder (packages/server/assets/skills/packs/knowledge-base/consolidate in inkeep/open-knowledge) into .agents/skills/consolidate-notes in your project. Codex loads it when a task matches its description.

Can I use Consolidate Notes in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add inkeep/open-knowledge --skill consolidate-notes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/consolidate-notes, .gemini/skills/consolidate-notes, .github/skills/consolidate-notes and .opencode/skills/consolidate-notes in your project.

What does Consolidate Notes need to run?

SKILL.md names no scripts, command-line tools or credentials: Consolidate Notes is instructions for the agent only. Compatibility (from SKILL.md): Any agent host with the OpenKnowledge MCP server configured. Installed project-local by `ok seed --pack knowledge-base`..

Does Consolidate Notes access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Consolidate Notes safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Consolidate Notes use?

Consolidate Notes is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Consolidate Notes use?

About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Consolidate Notes?

Skills that share tags, products or a category with Consolidate Notes: Capture Conversation (outline/outline, 41k stars), Project Cairn (iBlinkQ/project-cairn, 235 stars), LLM Wiki Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars) and Find And Cite (outline/outline, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Consolidate Notes?

inkeep (a GitHub organization) maintains it in inkeep/open-knowledge, which has 4,418 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 8, 2026.

Source: inkeep/open-knowledge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.