Agent skill

Learning Aggregator CI

by pskoett in pskoett/pskoett-ai-skills

[Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows).

No licenceAuto-check passedAgent Workflows

Install Learning Aggregator CI

skills CLI
$ npx skills add pskoett/pskoett-ai-skills --skill learning-aggregator-ci -a claude-code

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

GitHub CLI
$ gh skill install pskoett/pskoett-ai-skills learning-aggregator-ci --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/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learning-aggregator-ci .claude/skills/learning-aggregator-ci && 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
learning-aggregator-ci
GitHub stars
314
Token cost
~2.5k tokens
SKILL.md length
875 words
Files
2 (incl. references)
Skills in repo
24
Repo updated
First seen
Licence
None found

At a glance

[Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows).

  • Works in 5 steps: Read-only — do not modify .learnings/… → Headless — no interactive prompts, no… → Structured output — emit findings as… → …
  • : you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts
  • SKILL.md covers Install, Purpose, Context Limitation (Important) and Prerequisites, plus 8 more sections
  • Calls gh and npx

What it does

Learning Aggregator CI is an agent skill from pskoett/pskoett-ai-skills. [Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows). Scans .learnings/ files on a schedule, groups entries by patternkey, identifies promotion-ready patterns, and posts a gap report as a PR or issue comment. Use when: you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts. For interactive use, use learning-aggregator.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/workflow-example.md`).

It sits in Agent Workflows, covering Session handoff. It works with GitHub.

When your agent uses it

  • : you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts
  • Tasks that involve Session handoff

Example prompts

  • “/learning-aggregator-ci”

Requirements

  • Node.js

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read-only — do not modify .learnings/ files, project instruction files (CLAUDE.md, AGENTS.md, .github/copilot-instructions.md), or any…
  2. Headless — no interactive prompts, no approval gates
  3. Structured output — emit findings as YAML under learning_aggregator_ci key
  4. Single comment — post one consolidated comment per run, not per finding
  5. Deterministic — same .learnings/ state produces the same gap report

What it can do on your machine

Read from SKILL.md and the folder at commit 5a836dc. 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

    Shell commands in SKILL.md call:

    • gh
    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use gh and npx, which can reach the network depending on how they are called.

    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

Learning Aggregator CI loads about 2.5k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 875 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.7k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 875 words (~2,493 tokens).

name
learning-aggregator-ci

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in skills/learning-aggregator-ci of pskoett/pskoett-ai-skills.

  • SKILL.md
  • references/workflow-example.md

Open the folder on GitHubat commit 5a836dc

Compare with similar skills

Learning Aggregator CI 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.

Learning Aggregator CI compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Learning Aggregator CI this skillpskoett/pskoett-ai-skills314—~2.5kAutomated safety check: PassNone
Session Handoff Writercodewhale-hq/Codewhale41k—~1.2kAutomated safety check: PassMIT
Save Stateritchiecarroll/go2cs400—~1.8kAutomated safety check: PassCustom licence
Beadsmatthiasn/lotti1.2k—~589Automated safety check: PassGPL-3.0
Gh Issuesserejaris/personal-corp-os229—~1.8kAutomated safety check: PassMIT
Swarm Coordinationdralgorhythm/claude-agentic-framework125—~1.6kAutomated safety check: PassNone

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Works with

Categories

Questions about Learning Aggregator CI

What does Learning Aggregator CI do?

[Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows). Learning Aggregator CI is an agent skill from pskoett/pskoett-ai-skills. [Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows).

When should I use Learning Aggregator CI?

Learning Aggregator CI fits situations like: : you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts; tasks that involve Session handoff.

How do I install Learning Aggregator CI in Claude Code?

Run `npx skills add pskoett/pskoett-ai-skills --skill learning-aggregator-ci -a claude-code`. Or copy the skill folder (skills/learning-aggregator-ci in pskoett/pskoett-ai-skills) into .claude/skills/learning-aggregator-ci in your project. Claude Code loads it when a task matches its description.

How do I install Learning Aggregator CI in Codex?

Run `npx skills add pskoett/pskoett-ai-skills --skill learning-aggregator-ci -a codex`. Or copy the skill folder (skills/learning-aggregator-ci in pskoett/pskoett-ai-skills) into .agents/skills/learning-aggregator-ci in your project. Codex loads it when a task matches its description.

Can I use Learning Aggregator CI 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 pskoett/pskoett-ai-skills --skill learning-aggregator-ci -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-aggregator-ci, .gemini/skills/learning-aggregator-ci, .github/skills/learning-aggregator-ci and .opencode/skills/learning-aggregator-ci in your project.

What does Learning Aggregator CI need to run?

Going by SKILL.md and its folder, Learning Aggregator CI needs the command-line tools its instructions call (gh and npx). Our summary lists: Node.js.

Does Learning Aggregator CI access the network?

SKILL.md contains no URLs. Its commands use gh and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Learning Aggregator CI 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 Learning Aggregator CI use?

No licence was found for Learning Aggregator CI or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Learning Aggregator CI use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Learning Aggregator CI?

Skills that share tags, products or a category with Learning Aggregator CI: Session Handoff Writer (codewhale-hq/Codewhale, 41k stars), Save State (ritchiecarroll/go2cs, 400 stars), Beads (matthiasn/lotti, 1.2k stars) and Gh Issues (serejaris/personal-corp-os, 229 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Learning Aggregator CI?

pskoett (a GitHub user) maintains it in pskoett/pskoett-ai-skills, which has 314 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 5, 2026.

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