Simple English
moeru-ai/airi
Write or rewrite technical text with the rules of ASD-STE100 Simplified Technical English so it is clear, unambiguous, and free of AI slop.
Discover non-obvious cross-domain connections through random sampling and pattern analysis
Install Auto Discovery
$ npx skills add Abilityai/cornelius --skill auto-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Abilityai/cornelius auto-discovery --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/auto-discovery .claude/skills/auto-discovery && 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 "auto-discovery" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/auto-discovery into .claude/skills/auto-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-discovery", 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/auto-discoveryType 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 auto-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Abilityai/cornelius auto-discovery --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/auto-discovery .agents/skills/auto-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-discovery" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/auto-discovery into .agents/skills/auto-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-discovery", 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 auto-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Abilityai/cornelius auto-discovery --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/auto-discovery .cursor/skills/auto-discovery && 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 "auto-discovery" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/auto-discovery into .cursor/skills/auto-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-discovery", 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/auto-discovery--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 auto-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Abilityai/cornelius auto-discovery --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/auto-discovery .gemini/skills/auto-discovery && 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 "auto-discovery" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/auto-discovery into .gemini/skills/auto-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-discovery", 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 auto-discoveryInstalls 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 auto-discovery -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/auto-discovery .github/skills/auto-discovery && 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 "auto-discovery" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/auto-discovery into .github/skills/auto-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-discovery", 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 auto-discovery -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 auto-discovery --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/auto-discovery .opencode/skills/auto-discovery && 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 "auto-discovery" agent skill from https://github.com/Abilityai/cornelius/tree/main/.claude/skills/auto-discovery into .opencode/skills/auto-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-discovery", 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.
Facts
- Skill name
auto-discovery- GitHub stars
- 109
- Token cost
- ~1.3k tokens
- SKILL.md length
- 322 words
- Files
- 1
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- MIT
At a glance
Discover non-obvious cross-domain connections through random sampling and pattern analysis
- Works in 7 steps: Get Current Date → Strategic Sampling → Get Connections for Seeds → …
- Tasks that involve Changelog and release notes
- SKILL.md covers Purpose, State Dependencies, Prerequisites and Process, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Auto Discovery is an agent skill from Abilityai/cornelius. Discover non-obvious cross-domain connections through random sampling and pattern analysis
Its SKILL.md is about 1.3k 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 Development, covering Changelog and release notes. The repository describes itself as: AI-powered second brain template for Claude Code + Obsidian. The licence is MIT.
When your agent uses it
- Tasks that involve Changelog and release notes
Example prompts
- “/auto-discovery”
Requirements
- Pre-approved tools (allowed-tools): Read, Write, Grep, Glob, Bash
Workflow steps
7 steps, taken from the step headings in SKILL.md.
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:
ReadWriteGrepGlobBash
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 bash 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.
Context cost
Auto Discovery loads about 1.3k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 322 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.
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: Read, Write, Grep, Glob, Bash
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). 322 words, ~1,296 tokens.
Download SKILL.mdSave it as
.claude/skills/auto-discovery/SKILL.md (or your agent's skills folder).- name
- auto-discovery
- description
- Discover non-obvious cross-domain connections through random sampling and pattern analysis
- allowed-tools
- Read, Write, Grep, Glob, Bash
- automation
- autonomous
- schedule
- 0 20 * * 0
Auto-Discovery
Autonomous cross-domain connection hunter. Samples notes from different thematic clusters and finds meaningful relationships that semantic similarity alone would miss.
Purpose
Find non-obvious, cross-domain connections - notes with low semantic similarity (0.50-0.70) but high conceptual strength. These are the hidden patterns in the knowledge base.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Permanent Notes | Brain/02-Permanent/ | ✓ | Sampling source | |
| AI Extracted Notes | Brain/AI Extracted Notes/ | ✓ | Sampling source | |
| Document Insights | Brain/Document Insights/ | ✓ | Sampling source | |
| Local Brain Search | resources/local-brain-search/ | ✓ | Similarity scores, connections | |
| Session Changelogs | Brain/05-Meta/Changelogs/ | ✓ | Dated discovery log | |
| Master Changelog | Brain/CHANGELOG.md | ✓ | ✓ | Summary entry |
Prerequisites
- Local Brain Search index up-to-date (
/refresh-index) - Brain vault accessible
Process
Step 1: Get Current Date
date '+%Y-%m-%d'Use for changelog filename.
Step 2: Strategic Sampling
Sample from 3-5 diverse domains using Local Brain Search:
# --no-track: autonomous weekly loop; its cross-domain samples must NOT train q-values (scope-primitive learning hygiene).
# BRAIN_READ_SCOPE=<wide>: cross-domain (non-core) sampling is this skill's PURPOSE, so it must read past
# the core fingerprint. Set it wide rather than letting it fail closed to core once enforcement is on.
# Only the learn axis is closed (--no-track); the read axis is deliberately wide.
BRAIN_READ_SCOPE=core,Books,document-insights,meta,inbox,output resources/local-brain-search/run_search.sh "dopamine" --limit 5 --no-track --json
BRAIN_READ_SCOPE=core,Books,document-insights,meta,inbox,output resources/local-brain-search/run_search.sh "uncertainty" --limit 5 --no-track --json
BRAIN_READ_SCOPE=core,Books,document-insights,meta,inbox,output resources/local-brain-search/run_search.sh "identity" --limit 5 --no-track --jsonPick seed notes from different clusters.
Step 3: Get Connections for Seeds
For each seed note (same wide read-scope - the seeds and their neighbors live across domains):
BRAIN_READ_SCOPE=core,Books,document-insights,meta,inbox,output resources/local-brain-search/run_connections.sh "Note Name" --jsonIdentify notes with similarity 0.50-0.70 from DIFFERENT domains.
Step 4: Cross-Domain Analysis
For each cross-domain pair:
- Read both notes fully
- Record ACTUAL similarity score from search
- Analyze for:
- Shared structural patterns
- Common mechanisms
- Meta-principles
- Paradoxes
Rate conceptual strength (1-5 stars).
Target: Low semantic similarity + high conceptual strength = valuable discovery.
Step 5: Document Discoveries
For each strong connection:
## CROSS-DOMAIN CONNECTION
**Node A**: [[Note X]] (Domain: Neuroscience)
**Node B**: [[Note Y]] (Domain: Economics)
**Semantic Similarity**: 0.63 (actual from search)
**Conceptual Strength**: ⭐⭐⭐⭐⭐
**The Link**: [2-3 sentences explaining WHY they connect]
**Shared Pattern**: [The underlying principle]
**Synthesis Opportunity**: [Potential new note title]Step 6: Create Dated Changelog
Write to Brain/05-Meta/Changelogs/CHANGELOG - Auto-Discovery Session YYYY-MM-DD.md:
## Auto-Discovery Session: YYYY-MM-DD
### Session Parameters
- Notes sampled: [N] from [X] clusters
- Domains analyzed: [list]
### Discoveries Made
**Strong Connections**: [N]
1. [[A]] ↔ [[B]] - [pattern]
**Meta-Patterns**: [N]
**Consilience Zones**: [N]
### Session Statistics
- Total notes analyzed: [N]
- Non-obvious connections (similarity < 0.70): [N]Step 7: Update Master Changelog
Add brief summary to Brain/CHANGELOG.md:
## YYYY-MM-DD - Auto-Discovery Session
See: [[CHANGELOG - Auto-Discovery Session YYYY-MM-DD]]
- [N] connections discovered
- [N] meta-patterns identifiedQuality Standards
GOOD discoveries:
- Semantic similarity 0.50-0.70
- Clear conceptual link across domains
- "Aha!" factor - non-obvious insight
- Actionable synthesis opportunity
SKIP:
- High similarity (0.85+) - too obvious
- Same domain - not cross-domain
- Already linked in vault
Error Handling
| Error | Recovery |
|---|---|
| Search returns empty | Try different seed terms |
| All high similarity | Note in changelog, try broader clusters |
| Index outdated | Run /refresh-index first |
Completion Checklist
- Notes sampled from 3+ different clusters
- ACTUAL similarity scores recorded (not estimated)
- Cross-domain connections with conceptual analysis
- Non-obvious discoveries documented (similarity < 0.70)
- Dated changelog created in
Brain/05-Meta/Changelogs/ - Master changelog updated with summary
© 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/auto-discovery of Abilityai/cornelius.
Open the folder on GitHubat commit fd5e9a4
Compare with similar skills
Auto Discovery 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 |
|---|---|---|---|---|---|---|
| Auto Discovery this skillAbilityai/cornelius | 109 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Simple Englishmoeru-ai/airi | 50k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| StarRocks Release NotesStarRocks/starrocks | 12k | — | ~1.9k | Automated safety check: Notes | Apache-2.0 | |
| Cutting A ReleaseTriliumNext/Trilium | 38k | — | ~3.2k | Automated safety check: Pass | AGPL-3.0 | |
| React Router Release Notes Prepremix-run/react-router | 57k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Mole CLI Release Flowtw93/Mole | 70k | — | ~2.5k | Automated safety check: Pass | GPL-3.0 |
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StarRocks/starrocks
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Cutting A Release
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A skill your agent uses when cutting, preparing, or debugging a Trilium release — bumping the monorepo version, tagging, or diagnosing a failed "Release" workflow run.
React Router Release Notes Prep
remix-run/react-router
Polishes pending React Router change files before the versioning scripts run, and decides whether a long-form What's Changed section is warranted.
Mole CLI Release Flow
tw93/Mole
Runbook for assessing and executing a Mole CLI release: distribution channels, pre-flight checks, capital-V tags, build artifacts and the handoff to curated release notes.
Release
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Cut a FastMCP release end to end. An agent skill from PrefectHQ/fastmcp.
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Related
Categories
Questions about Auto Discovery
What does Auto Discovery do?
Discover non-obvious cross-domain connections through random sampling and pattern analysis. Auto Discovery is an agent skill from Abilityai/cornelius.
When should I use Auto Discovery?
Auto Discovery fits situations like: tasks that involve Changelog and release notes.
How do I install Auto Discovery in Claude Code?
Run `npx skills add Abilityai/cornelius --skill auto-discovery -a claude-code`. Or copy the skill folder (.claude/skills/auto-discovery in Abilityai/cornelius) into .claude/skills/auto-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Auto Discovery in Codex?
Run `npx skills add Abilityai/cornelius --skill auto-discovery -a codex`. Or copy the skill folder (.claude/skills/auto-discovery in Abilityai/cornelius) into .agents/skills/auto-discovery in your project. Codex loads it when a task matches its description.
Can I use Auto Discovery 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 auto-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-discovery, .gemini/skills/auto-discovery, .github/skills/auto-discovery and .opencode/skills/auto-discovery in your project.
What does Auto Discovery need to run?
SKILL.md names no scripts, command-line tools or credentials: Auto Discovery is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Grep, Glob, Bash.
Does Auto Discovery 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 Auto Discovery 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 Auto Discovery use?
Auto Discovery 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 Auto Discovery use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Auto Discovery?
Skills that share tags, products or a category with Auto Discovery: Simple English (moeru-ai/airi, 50k stars), StarRocks Release Notes (StarRocks/starrocks, 12k stars), Cutting A Release (TriliumNext/Trilium, 38k stars) and React Router Release Notes Prep (remix-run/react-router, 57k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Auto Discovery?
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.