Agent skill

Compute Lifecycle

by Abilityai in Abilityai/cornelius

Compute lifecycle scores for all insight and framework notes - detect which notes are crystallizing or becoming generative

MITAuto-check: notes

Install Compute Lifecycle

skills CLI
$ npx skills add Abilityai/cornelius --skill compute-lifecycle -a claude-code

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

GitHub CLI
$ gh skill install Abilityai/cornelius compute-lifecycle --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/Abilityai/cornelius.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/compute-lifecycle .claude/skills/compute-lifecycle && 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
compute-lifecycle
GitHub stars
109
Token cost
~447 tokens
SKILL.md length
144 words
Files
1
Skills in repo
51
Repo updated
First seen
Licence
MIT

At a glance

Compute lifecycle scores for all insight and framework notes - detect which notes are crystallizing or becoming generative

  • Works in 2 steps: Run lifecycle computation → Present transitions
  • SKILL.md covers State Dependencies, Process and Lifecycle Phases
  • Calls python

What it does

Compute Lifecycle is an agent skill from Abilityai/cornelius. Compute lifecycle scores for all insight and framework notes - detect which notes are crystallizing or becoming generative

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AI-powered second brain template for Claude Code + Obsidian. The licence is MIT.

Example prompts

  • “/compute-lifecycle”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Bash, Read

Workflow steps

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

  1. Run lifecycle computation
  2. Present transitions

What it can do on your machine

Read from SKILL.md and the folder at commit fd5e9a4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    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.

Context cost

Compute Lifecycle loads about 447 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 144 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~447

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read

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 Abilityai/cornelius at commit fd5e9a4, republished under its MIT licence (© Abilityai). 144 words, ~447 tokens.

Download SKILL.mdSave it as .claude/skills/compute-lifecycle/SKILL.md (or your agent's skills folder).
name
compute-lifecycle
description
Compute lifecycle scores for all insight and framework notes - detect which notes are crystallizing or becoming generative
allowed-tools
Bash, Read
user-invocable
true
automation
gated

Compute Lifecycle Scores

Computes lifecycle scores (0.0 reflective -> 1.0 generative) for all insight and framework notes based on behavioral signals: citation frequency, generative ratio, cross-domain reach, and temporal acceleration.

State Dependencies

SourceLocationReadWriteDescription
Enrichmentsresources/brain-graph/data/graph_enrichments.json✓✓Updated lifecycle scores
LBS Graphresources/local-brain-search/data/brain_graph.pkl✓NetworkX graph
Brain filesBrain/**/*.md✓File mtimes for temporal signals

Process

Step 1: Run lifecycle computation
bash
cd $PROJECT_ROOT/resources/brain-graph
../local-brain-search/venv/bin/python cli.py lifecycle

For JSON output:

bash
../local-brain-search/venv/bin/python cli.py lifecycle --json
Step 2: Present transitions

Focus on notes that crossed phase boundaries:

  • Reflective -> Crystallizing: Note is starting to generate its own connections
  • Crystallizing -> Generative: Note has become a driver of new insights

For promotable notes, suggest:

  • "Consider promoting to framework status"
  • "This note drives connections across N domains"

Lifecycle Phases

Score RangePhaseMeaning
0.0 - 0.3ReflectiveTracks sources, sources win on conflict
0.3 - 0.6CrystallizingGenerating own connections, authority contested
0.6 - 1.0GenerativeDrives downstream notes, this note wins on conflict

© Abilityai, MIT. 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 .claude/skills/compute-lifecycle of Abilityai/cornelius.

Open the folder on GitHubat commit fd5e9a4

Compare with similar skills

Compute Lifecycle 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.

Compute Lifecycle compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Compute Lifecycle this skillAbilityai/cornelius109—~447Automated safety check: NotesMIT
Ito Computeaffaan-m/ECC275k1 repos~1.7kAutomated safety check: PassMIT
Claw Scoreopenclaw/openclaw392k—~2.5kAutomated safety check: PassMIT
Senior Computer Visiondavila7/claude-code-templates32k3 repos~1.4kAutomated safety check: PassMIT
Senior Computer Visionalirezarezvani/claude-skills28k2 repos~3.2kAutomated safety check: PassMIT
Threat Detectionalirezarezvani/claude-skills28k—~3.5kAutomated safety check: PassMIT

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Questions about Compute Lifecycle

What does Compute Lifecycle do?

Compute lifecycle scores for all insight and framework notes - detect which notes are crystallizing or becoming generative. Compute Lifecycle is an agent skill from Abilityai/cornelius.

How do I install Compute Lifecycle in Claude Code?

Run `npx skills add Abilityai/cornelius --skill compute-lifecycle -a claude-code`. Or copy the skill folder (.claude/skills/compute-lifecycle in Abilityai/cornelius) into .claude/skills/compute-lifecycle in your project. Claude Code loads it when a task matches its description.

How do I install Compute Lifecycle in Codex?

Run `npx skills add Abilityai/cornelius --skill compute-lifecycle -a codex`. Or copy the skill folder (.claude/skills/compute-lifecycle in Abilityai/cornelius) into .agents/skills/compute-lifecycle in your project. Codex loads it when a task matches its description.

Can I use Compute Lifecycle 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 Abilityai/cornelius --skill compute-lifecycle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/compute-lifecycle, .gemini/skills/compute-lifecycle, .github/skills/compute-lifecycle and .opencode/skills/compute-lifecycle in your project.

What does Compute Lifecycle need to run?

Going by SKILL.md and its folder, Compute Lifecycle needs the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read.

Does Compute Lifecycle 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 Compute Lifecycle safe to install?

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.

What licence does Compute Lifecycle use?

Compute Lifecycle is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Compute Lifecycle use?

About 447 tokens (SKILL.md is roughly 1.8k 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 Compute Lifecycle?

Skills that share tags, products or a category with Compute Lifecycle: Ito Compute (affaan-m/ECC, 275k stars), Claw Score (openclaw/openclaw, 392k stars), Senior Computer Vision (davila7/claude-code-templates, 32k stars) and Senior Computer Vision (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Compute Lifecycle?

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.