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.
Autonomous AI crystallization - synthesizes converged thinking topics into ai-inferred notes in a dedicated folder.
$ npx skills add Abilityai/cornelius --skill ai-crystallize -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Abilityai/cornelius ai-crystallize --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Abilityai/cornelius.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ai-crystallize .claude/skills/ai-crystallize && rm -rf skills-srcUse ~/.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/
Install the "ai-crystallize" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/ai-crystallize into .claude/skills/ai-crystallize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-crystallize", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Abilityai/cornelius/tree/main/.claude/skills/ai-crystallizeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Abilityai/cornelius --skill ai-crystallize -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Abilityai/cornelius ai-crystallize --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abilityai/cornelius.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ai-crystallize .agents/skills/ai-crystallize && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-crystallize" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/ai-crystallize into .agents/skills/ai-crystallize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-crystallize", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Abilityai/cornelius --skill ai-crystallize -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Abilityai/cornelius ai-crystallize --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abilityai/cornelius.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ai-crystallize .cursor/skills/ai-crystallize && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-crystallize" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/ai-crystallize into .cursor/skills/ai-crystallize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-crystallize", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Abilityai/cornelius.git --path .claude/skills/ai-crystallize--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Abilityai/cornelius --skill ai-crystallize -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Abilityai/cornelius ai-crystallize --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abilityai/cornelius.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ai-crystallize .gemini/skills/ai-crystallize && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-crystallize" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/ai-crystallize into .gemini/skills/ai-crystallize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-crystallize", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Abilityai/cornelius ai-crystallizeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Abilityai/cornelius --skill ai-crystallize -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Abilityai/cornelius.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ai-crystallize .github/skills/ai-crystallize && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-crystallize" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/ai-crystallize into .github/skills/ai-crystallize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-crystallize", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Abilityai/cornelius --skill ai-crystallize -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Abilityai/cornelius ai-crystallize --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Abilityai/cornelius.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ai-crystallize .opencode/skills/ai-crystallize && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-crystallize" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/ai-crystallize into .opencode/skills/ai-crystallize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-crystallize", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ai-crystallizeAutonomous AI crystallization - synthesizes converged thinking topics into ai-inferred notes in a dedicated folder.
AI Crystallize is an agent skill from Abilityai/cornelius. Autonomous AI crystallization - synthesizes converged thinking topics into ai-inferred notes in a dedicated folder. Never touches the human-curated permanent knowledge base and never changes a topic's status, so manual crystallization stays available to the user.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Knowledge Management, covering Knowledge bases. The repository describes itself as: AI-powered second brain template for Claude Code + Obsidian. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fd5e9a4. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteGrepGlobBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AI Crystallize loads about 2.9k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 1,102 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Grep, Glob, BashAutomated 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.
The full file from Abilityai/cornelius at commit fd5e9a4, republished under its MIT licence (© Abilityai). 1,102 words, ~2,884 tokens.
.claude/skills/ai-crystallize/SKILL.md (or your agent's skills folder).Autonomous companion to the human crystallization path. Each run synthesizes converged thinking topics into standalone notes written to a dedicated, segregated folder - never Brain/02-Permanent/.
Why this exists: Converged topics pile up faster than a human can crystallize them. This playbook captures the AI's synthesis of each converged topic so the conclusion is not lost - while preserving the one boundary the second brain must never cross autonomously: nothing enters the endorsed permanent knowledge base without an explicit endorsement act by the user.
The boundary, stated plainly:
Brain/05-Meta/AI Crystallizations/, tagged provenance: ai-inferred, excluded from semantic indexing.Brain/02-Permanent/, Brain/AI Extracted Notes/, or Brain/05-Meta/Reports/.status in the Thinking Registry (the topic stays converged), so /manage-thinking-topics crystallize remains fully available to the user for the real, endorsed crystallization.Automate the synthesis, segregate the artifact, gate the endorsement. The AI may draft what it concluded; only the human may promote a conclusion into the knowledge they will reason FROM.
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Thinking Registry | Brain/05-Meta/Thinking/THINKING-REGISTRY.md | ✓ | Find converged topics (read-only - never mutated here) | |
| Thinking Files | Brain/05-Meta/Thinking/[topic-slug].md | ✓ | Source of the converged conclusion (read-only) | |
| AI Crystallizations | Brain/05-Meta/AI Crystallizations/[topic-slug].md | ✓ | ✓ | Output notes (the only write target for content) |
| Crystallization Index | Brain/05-Meta/AI Crystallizations/INDEX.md | ✓ | ✓ | Manifest of what has been AI-crystallized |
| Session Changelogs | Brain/05-Meta/Changelogs/ | ✓ | Run log |
Brain/05-Meta/Thinking/THINKING-REGISTRY.mdBrain/05-Meta/AI Crystallizations/ exists (create if missing)status: converged (otherwise clean exit)date '+%Y-%m-%d'Read Brain/05-Meta/Thinking/THINKING-REGISTRY.md. Collect every topic listed in the Converged (Ready for Crystallization) table (or any topic whose thinking-file frontmatter is status: converged).
If a specific [topic-slug] was passed as argument, restrict to that single topic (verify it is converged; if not, log and exit).
If there are no converged topics, write a brief changelog entry and exit cleanly.
For each converged topic, check whether Brain/05-Meta/AI Crystallizations/[topic-slug].md already exists.
This file-existence check is the dedup mechanism. The playbook never mutates the Thinking Registry or thinking files, so it is fully idempotent and safe to retry.
From the eligible (un-crystallized) converged topics, take up to the per-run cap (5), oldest-converged first where the converged date is available; otherwise registry order. Convergence-date proxy: thinking files carry no converged_on frontmatter field, so use the frontmatter updated: date (the converging run stamps it) as the oldest-first sort key - cheap to extract in one pass with grep -m1 '^updated:' across the Thinking folder. Note in the run log any eligible topics deferred to a later run.
For each selected topic, read Brain/05-Meta/Thinking/[topic-slug].md and extract the conclusion. Prefer the canonical block, fall back gracefully:
## Final Synthesis - the canonical block appended by the incubation loop at convergence. If present, this is authoritative. Extract: Conclusion, Confidence + leading hypothesis, Key evidence, Convergence path, Remaining uncertainty, Related topics. Note: legacy topics instead carry an inline **Final Synthesis:** / **Final converged position:** line (not a ## header) near the end - a grep '## Final Synthesis' will miss these. Match the lowercase inline form too, or just go straight to the tail per step 2.topic), the trailing "Final Synthesis" / "Final converged position" / "Current Best Answer", the last "Updated Hypotheses" table, and any "Open Questions". The convergence-assessment block (run count, leading-hypothesis streak, confidence delta) sits just above and gives the Convergence Path.Do not run KB search or web search - this playbook synthesizes from the already-converged reasoning, not new evidence. Keep it fast and self-contained.
Write to Brain/05-Meta/AI Crystallizations/[topic-slug].md:
---
created: YYYY-MM-DD
updated: YYYY-MM-DD
created_by: [model-name]
updated_by: [model-name]
agent_version: 01.25
provenance: ai-inferred
source_topic: "[[topic-slug]]"
status: ai-crystallized
---
> 🤖 **AI Crystallization - not endorsed knowledge.** Synthesized autonomously from a converged thinking topic. Carries `provenance: ai-inferred` and lives outside `Brain/02-Permanent/`. This is a **candidate for human review**, not a permanent note. To promote it, the user runs `/manage-thinking-topics crystallize [topic-slug]`.
# [Topic Title]
**Central Question:** [exact question from the thinking file]
## Conclusion
[1-2 paragraphs - the substantive answer, in neutral third-person AI-synthesis voice. NOT first-person your voice - this is ai-inferred, not his endorsed thinking.]
## Confidence
[X% on H[N] (and any co-leading hypotheses)]
## Key Evidence
- [[Note A]] - [why it mattered]
- [[Note B]] - [why it mattered]
- [[Note C]] - [why it mattered]
## Convergence Path
[Standard | Framework exhaustion] after [N] runs
## Remaining Uncertainty
[1 paragraph - what is known to be unknown; what could change this]
## Source
Crystallized from [[topic-slug]] (`Brain/05-Meta/Thinking/[topic-slug].md`), converged [date].
[Related topics, if any: [[other-slug]]]Voice discipline: write the Conclusion in neutral analytical voice, never first-person as the user. This artifact is ai-inferred; it must never read as if the user authored or endorsed it. Per CLAUDE.md's guarded boundary, only an explicit endorsement act by the user (via manual crystallization) may set provenance to endorsed or originated.
Append a row to Brain/05-Meta/AI Crystallizations/INDEX.md (create the file with a header if missing):
| [topic-slug] | [one-line conclusion summary] | [confidence] | YYYY-MM-DD |Write to Brain/05-Meta/Changelogs/CHANGELOG - AI Crystallize YYYY-MM-DD.md:
---
created: YYYY-MM-DD
updated: YYYY-MM-DD
created_by: [model-name]
updated_by: [model-name]
agent_version: 01.25
---
# AI Crystallize Session: YYYY-MM-DD
## Crystallized This Run
| Topic | Conclusion Summary | Confidence | Status |
|-------|-------------------|------------|--------|
| [slug] | [summary] | X% | ai-crystallized (awaiting human review) |
## Deferred (over per-run cap)
[List of eligible converged topics not processed this run, or "None"]
## Note
These are AI-inferred candidates in `Brain/05-Meta/AI Crystallizations/`. The source topics remain `status: converged` and available for the user's manual crystallization via `/manage-thinking-topics crystallize [slug]`.Brain/02-Permanent/, Brain/AI Extracted Notes/, or Brain/05-Meta/Reports/status: crystallized on a topic (that marks human, endorsed crystallization)provenance to endorsed or originatedIf any of these would be required, stop and log - the topic belongs to the human path.
| Error | Recovery |
|---|---|
| Registry missing | Log to changelog, exit cleanly |
| No converged topics | Log to changelog, exit cleanly |
| Output folder missing | Create Brain/05-Meta/AI Crystallizations/, proceed |
| Thinking file missing for converged topic | Log warning, skip topic |
| No Final Synthesis and no conclusion in last 200 lines | Read full file once; if still none, skip topic and log |
| Run approaches 45 minutes | Stop after current topic, log remaining as deferred |
Brain/05-Meta/AI Crystallizations/ with provenance: ai-inferred02-Permanent/, AI Extracted Notes/, or Reports/| Skill | Relationship |
|---|---|
incubation-loop | Produces the converged topics this playbook reads |
manage-thinking-topics crystallize | The human, endorsed path - writes to 02-Permanent/ / Reports/, gated by approval. This playbook never overlaps with it; it is the AI-only, segregated companion |
synthesize-insights | the user's manual synthesis tool - unaffected |
After completing this skill's primary task, consider tactical improvements:
git add .claude/skills/ai-crystallize/SKILL.mdgit commit -m "refactor(ai-crystallize): <brief improvement>"© Abilityai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/ai-crystallize of Abilityai/cornelius.
Open the folder on GitHubat commit fd5e9a4
AI Crystallize 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Crystallize this skillAbilityai/cornelius | 109 | — | ~2.9k | Automated safety check: Notes | MIT | |
| Capture Conversationoutline/outline | 41k | — | ~474 | Automated safety check: Pass | Custom licence | |
| Project CairniBlinkQ/project-cairn | 235 | 2 repos | ~861 | Automated safety check: Pass | MIT | |
| LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Find And Citeoutline/outline | 41k | — | ~537 | Automated safety check: Pass | Custom licence | |
| Xhs Virtual Productchenjin-cmd/xhs-virtual-product | 727 | — | ~862 | Automated safety check: Pass | MIT |
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.
iBlinkQ/project-cairn
Standardize how an AI-collaboration project turns work into reusable knowledge.
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
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.
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.
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…
Abilityai/cornelius
Generate images using Google's Nano Banana (Gemini 2.5 Flash Image).
Abilityai/cornelius
Protocol for creating dated changelog files after significant agent sessions.
Abilityai/cornelius
Create long-form articles from knowledge base insights. An agent skill from Abilityai/cornelius.
Abilityai/cornelius
Framework for distinguishing research findings from hypotheses and speculative synthesis.
Abilityai/cornelius
Extract the transcript from a YouTube video by URL or video ID.
Abilityai/cornelius
Standard format for capturing and documenting insights in the knowledge base.
Categories
Autonomous AI crystallization - synthesizes converged thinking topics into ai-inferred notes in a dedicated folder. AI Crystallize is an agent skill from Abilityai/cornelius. Autonomous AI crystallization - synthesizes converged thinking topics into ai-inferred notes in a dedicated folder.
AI Crystallize fits situations like: tasks that involve Knowledge bases.
Run `npx skills add Abilityai/cornelius --skill ai-crystallize -a claude-code`. Or copy the skill folder (.claude/skills/ai-crystallize in Abilityai/cornelius) into .claude/skills/ai-crystallize in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Abilityai/cornelius --skill ai-crystallize -a codex`. Or copy the skill folder (.claude/skills/ai-crystallize in Abilityai/cornelius) into .agents/skills/ai-crystallize in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Abilityai/cornelius --skill ai-crystallize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-crystallize, .gemini/skills/ai-crystallize, .github/skills/ai-crystallize and .opencode/skills/ai-crystallize in your project.
Going by SKILL.md and its folder, AI Crystallize needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: Read, Write, Grep, Glob, Bash.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
AI Crystallize is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with AI Crystallize: 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.
Abilityai (a GitHub organization) maintains it in Abilityai/cornelius, which has 109 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on September 22, 2026.
Source: Abilityai/cornelius on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.