Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
[Beta] Cross-session analysis of accumulated .learnings/ files.
Install Learning Aggregator
$ npx skills add pskoett/pskoett-ai-skills --skill learning-aggregator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pskoett/pskoett-ai-skills learning-aggregator --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/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learning-aggregator .claude/skills/learning-aggregator && 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 "learning-aggregator" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/learning-aggregator into .claude/skills/learning-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-aggregator", 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/pskoett/pskoett-ai-skills/tree/main/skills/learning-aggregatorType 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 pskoett/pskoett-ai-skills --skill learning-aggregator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pskoett/pskoett-ai-skills learning-aggregator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/learning-aggregator .agents/skills/learning-aggregator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learning-aggregator" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/learning-aggregator into .agents/skills/learning-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-aggregator", 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 pskoett/pskoett-ai-skills --skill learning-aggregator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pskoett/pskoett-ai-skills learning-aggregator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/learning-aggregator .cursor/skills/learning-aggregator && 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 "learning-aggregator" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/learning-aggregator into .cursor/skills/learning-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-aggregator", 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/pskoett/pskoett-ai-skills.git --path skills/learning-aggregator--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 pskoett/pskoett-ai-skills --skill learning-aggregator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pskoett/pskoett-ai-skills learning-aggregator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/learning-aggregator .gemini/skills/learning-aggregator && 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 "learning-aggregator" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/learning-aggregator into .gemini/skills/learning-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-aggregator", 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 pskoett/pskoett-ai-skills learning-aggregatorInstalls 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 pskoett/pskoett-ai-skills --skill learning-aggregator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/learning-aggregator .github/skills/learning-aggregator && 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 "learning-aggregator" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/learning-aggregator into .github/skills/learning-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-aggregator", 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 pskoett/pskoett-ai-skills --skill learning-aggregator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pskoett/pskoett-ai-skills learning-aggregator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pskoett/pskoett-ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/learning-aggregator .opencode/skills/learning-aggregator && 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 "learning-aggregator" agent skill from https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/learning-aggregator into .opencode/skills/learning-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-aggregator", 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
learning-aggregator- GitHub stars
- 311
- Token cost
- ~4.1k tokens
- SKILL.md length
- 1,793 words
- Files
- 2
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- None found
At a glance
[Beta] Cross-session analysis of accumulated .learnings/ files.
- Works in 5 steps: Read All Learning Files → Group and Aggregate → Rank and Classify → …
- Tasks that involve Session handoff
- SKILL.md covers When to Use, What It Produces, Step 1: Read All Learning Files and Step 2: Group and Aggregate, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Learning Aggregator is an agent skill from pskoett/pskoett-ai-skills. [Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by patternkey, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).
It sits in Agent Workflows, covering Session handoff.
When your agent uses it
- Tasks that involve Session handoff
Example prompts
- “/learning-aggregator”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Read All Learning Files
- Group and Aggregate
- Rank and Classify
- Produce Gap Report
- Handoff
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown, bash and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
entire.io
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 loads about 4.1k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 1,793 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 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 1,793 words (~4,140 tokens).
“Reads accumulated .learnings/ files across all sessions, finds patterns, and produces a ranked list of promotion candidates. This is the outer loop's inspect step.”
- name
- learning-aggregator
Files
SKILL.md and 1 other file in skills/learning-aggregator of pskoett/pskoett-ai-skills.
- SKILL.md
- evals/evals.json
Open the folder on GitHubat commit 5a836dc
Compare with similar skills
Learning Aggregator 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 |
|---|---|---|---|---|---|---|
| Learning Aggregator this skillpskoett/pskoett-ai-skills | 311 | — | ~4.1k | Automated safety check: Pass | None | |
| Orca CLIstablyai/orca | 87k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Coding Agent Session Findercode-yeongyu/oh-my-openagent | 70k | 1 repos | ~2.8k | Automated safety check: Pass | Custom licence | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Session History Searchslopus/happy | 24k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Paseo Agent Handoffgetpaseo/paseo | 20k | 1 repos | ~606 | Automated safety check: Pass | Custom licence |
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Beads Task Memory
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Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
Session History Search
slopus/happy
Searches past Claude Code, Codex and Cursor sessions and summarizes what was worked on, tried or decided, using extraction scripts instead of reading raw logs.
Paseo Agent Handoff
getpaseo/paseo
Hands off the current task, including context, decisions and failed attempts, to a fresh agent through Paseo by writing a self-contained briefing prompt and launching that agent.
Memori Long-Term Memory
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Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.
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Categories
Questions about Learning Aggregator
What does Learning Aggregator do?
[Beta] Cross-session analysis of accumulated .learnings/ files. Learning Aggregator is an agent skill from pskoett/pskoett-ai-skills.learnings/ files.
When should I use Learning Aggregator?
Learning Aggregator fits situations like: tasks that involve Session handoff.
How do I install Learning Aggregator in Claude Code?
Run `npx skills add pskoett/pskoett-ai-skills --skill learning-aggregator -a claude-code`. Or copy the skill folder (skills/learning-aggregator in pskoett/pskoett-ai-skills) into .claude/skills/learning-aggregator in your project. Claude Code loads it when a task matches its description.
How do I install Learning Aggregator in Codex?
Run `npx skills add pskoett/pskoett-ai-skills --skill learning-aggregator -a codex`. Or copy the skill folder (skills/learning-aggregator in pskoett/pskoett-ai-skills) into .agents/skills/learning-aggregator in your project. Codex loads it when a task matches its description.
Can I use Learning Aggregator 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 -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, .gemini/skills/learning-aggregator, .github/skills/learning-aggregator and .opencode/skills/learning-aggregator in your project.
What does Learning Aggregator need to run?
SKILL.md names no scripts, command-line tools or credentials: Learning Aggregator is instructions for the agent only.
Does Learning Aggregator access the network?
SKILL.md names 1 domain. As links in the text: entire.io. This is read from the text; nothing was executed.
Is Learning Aggregator 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 use?
No licence was found for Learning Aggregator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Learning Aggregator use?
About 4.1k tokens (SKILL.md is roughly 17k 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 Learning Aggregator?
Skills that share tags, products or a category with Learning Aggregator: Orca CLI (stablyai/orca, 87k stars), Coding Agent Session Finder (code-yeongyu/oh-my-openagent, 70k stars), Beads Task Memory (gastownhall/beads, 28k stars) and Session History Search (slopus/happy, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learning Aggregator?
pskoett (a GitHub user) maintains it in pskoett/pskoett-ai-skills, which has 311 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.