Agent skill

Aiception Skill Extraction

by NateBJones-Projects in NateBJones-Projects/OB1

Pulls reusable knowledge out of work sessions and turns it into new skills, checking existing notes and skills first to avoid duplicates.

Custom licenceAuto-check: notesAgent Workflows

Install Aiception Skill Extraction

skills CLI
$ npx skills add NateBJones-Projects/OB1 --skill aiception -a claude-code

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

GitHub CLI
$ gh skill install NateBJones-Projects/OB1 aiception --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/NateBJones-Projects/OB1.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/claudeception .claude/skills/aiception && 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
aiception
GitHub stars
4.7k
Token cost
~2k tokens
SKILL.md length
779 words
Files
3
Skills in repo
24
Repo updated
First seen
Licence
Custom licence

At a glance

Pulls reusable knowledge out of work sessions and turns it into new skills, checking existing notes and skills first to avoid duplicates.

  • Works in 7 steps: Search Open Brain for Existing Knowledge → Check for Existing Skills → Research Current Best Practices → …
  • Capturing a hard-won debugging fix as a reusable skill
  • SKILL.md covers Core Principle, When to Extract, Quality Criteria and Extraction Process, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Aiception is a continuous-learning routine: during a task the agent asks whether the work produced knowledge worth keeping and, if so, writes it up as a new skill. It starts from the `/aiception` command, from requests such as 'save this as a skill' or 'what did we learn?', and after non-obvious debugging or trial-and-error discovery. The skill stresses being selective, since not every task yields a skill.

Candidates qualify as non-obvious solutions, misleading errors with their real causes, tool integration knowledge, workflow optimizations or project-specific patterns, and must be reusable, non-trivial, specific and verified. Before writing, the agent searches Open Brain for existing knowledge and the project and user skill folders for related skills, then updates an existing skill, creates a new one or adds cross-references depending on the match. For technology topics it also checks current documentation.

When your agent uses it

  • Capturing a hard-won debugging fix as a reusable skill
  • Reviewing a finished session for lessons worth keeping
  • Updating an existing skill with a new variant of a known problem

Example prompts

  • “Save this as a skill: the build failed because of the cache path, not the compiler error.”
  • “What did we learn in this session that is worth keeping?”
  • “Run /aiception on this session and extract anything reusable.”

Requirements

  • An Open Brain connection that can search stored thoughts

Workflow steps

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

  1. Search Open Brain for Existing Knowledge
  2. Check for Existing Skills
  3. Research Current Best Practices
  4. Structure the Skill
  5. Save the Skill
  6. Capture to Open Brain
  7. Quality Gate Checklist

What it can do on your machine

Read from SKILL.md and the folder at commit 238df6c. 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 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

Aiception Skill Extraction loads about 2k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 779 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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.

  • NoteMentions a .env fileSKILL.md:170
    what's stored in the server's .env file.
  • NoteMentions a .env fileSKILL.md:186
    (2) API key from .env returns 401 but MCP config key works,

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 779 words (~1,955 tokens).

“A continuous learning system that extracts reusable knowledge from work sessions and codifies it into new skills. This enables autonomous improvement over time.”

— opening of SKILL.md by NateBJones-Projects, Custom licence
name
aiception
author
Jared Irish
version
2.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/claudeception of NateBJones-Projects/OB1.

  • SKILL.md
  • README.md
  • metadata.json

Open the folder on GitHubat commit 238df6c

Compare with similar skills

Aiception Skill Extraction 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.

Aiception Skill Extraction compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aiception Skill Extraction this skillNateBJones-Projects/OB14.7k—~2kAutomated safety check: NotesCustom licence
Reflect on Session Learningscursor/plugins10k5 repos~1.2kAutomated safety check: PassNone
Session Skill Mininggetcrew44/crew44356—~5.3kAutomated safety check: PassMIT
Trajectory Skill SynthesizerAgentToolkit/altk-evolve122—~2.2kAutomated safety check: PassApache-2.0
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
MemPalace Setup and OperationMemPalace/mempalace59k—~2.2kAutomated safety check: PassMIT

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Questions about Aiception Skill Extraction

What does Aiception Skill Extraction do?

Pulls reusable knowledge out of work sessions and turns it into new skills, checking existing notes and skills first to avoid duplicates. Aiception is a continuous-learning routine: during a task the agent asks whether the work produced knowledge worth keeping and, if so, writes it up as a new skill.', and after non-obvious debugging or trial-and-error discovery.

When should I use Aiception Skill Extraction?

Aiception Skill Extraction fits situations like: capturing a hard-won debugging fix as a reusable skill; reviewing a finished session for lessons worth keeping; updating an existing skill with a new variant of a known problem.

How do I install Aiception Skill Extraction in Claude Code?

Run `npx skills add NateBJones-Projects/OB1 --skill aiception -a claude-code`. Or copy the skill folder (skills/claudeception in NateBJones-Projects/OB1) into .claude/skills/aiception in your project. Claude Code loads it when a task matches its description.

How do I install Aiception Skill Extraction in Codex?

Run `npx skills add NateBJones-Projects/OB1 --skill aiception -a codex`. Or copy the skill folder (skills/claudeception in NateBJones-Projects/OB1) into .agents/skills/aiception in your project. Codex loads it when a task matches its description.

Can I use Aiception Skill Extraction 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 NateBJones-Projects/OB1 --skill aiception -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aiception, .gemini/skills/aiception, .github/skills/aiception and .opencode/skills/aiception in your project.

What does Aiception Skill Extraction need to run?

SKILL.md names no scripts, command-line tools or credentials: Aiception Skill Extraction is instructions for the agent only. Our summary lists: An Open Brain connection that can search stored thoughts.

Does Aiception Skill Extraction 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 Aiception Skill Extraction safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Aiception Skill Extraction use?

Aiception Skill Extraction has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Aiception Skill Extraction use?

About 2k tokens (SKILL.md is roughly 7.8k 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 Aiception Skill Extraction?

Skills that share tags, products or a category with Aiception Skill Extraction: Reflect on Session Learnings (cursor/plugins, 10k stars), Session Skill Mining (getcrew44/crew44, 356 stars), Trajectory Skill Synthesizer (AgentToolkit/altk-evolve, 122 stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aiception Skill Extraction?

NateBJones-Projects (a GitHub organization) maintains it in NateBJones-Projects/OB1, which has 4,696 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.

Source: NateBJones-Projects/OB1 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.