Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
Resume work from previous handoff sessions stored in .planning/handoffs/
$ npx skills add jellydn/my-ai-tools --skill pickup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jellydn/my-ai-tools pickup --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/jellydn/my-ai-tools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pickup .claude/skills/pickup && 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 "pickup" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/pickup into .claude/skills/pickup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pickup", 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/jellydn/my-ai-tools/tree/main/skills/pickupType 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 jellydn/my-ai-tools --skill pickup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jellydn/my-ai-tools pickup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pickup .agents/skills/pickup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pickup" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/pickup into .agents/skills/pickup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pickup", 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 jellydn/my-ai-tools --skill pickup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jellydn/my-ai-tools pickup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pickup .cursor/skills/pickup && 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 "pickup" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/pickup into .cursor/skills/pickup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pickup", 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/jellydn/my-ai-tools.git --path skills/pickup--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 jellydn/my-ai-tools --skill pickup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jellydn/my-ai-tools pickup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pickup .gemini/skills/pickup && 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 "pickup" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/pickup into .gemini/skills/pickup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pickup", 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 jellydn/my-ai-tools pickupInstalls 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 jellydn/my-ai-tools --skill pickup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pickup .github/skills/pickup && 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 "pickup" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/pickup into .github/skills/pickup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pickup", 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 jellydn/my-ai-tools --skill pickup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jellydn/my-ai-tools pickup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pickup .opencode/skills/pickup && 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 "pickup" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/pickup into .opencode/skills/pickup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pickup", 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.
pickupResume work from previous handoff sessions stored in .planning/handoffs/
Pickup is an agent skill from jellydn/my-ai-tools. Resume work from previous handoff sessions stored in .planning/handoffs/
Its SKILL.md is about 250 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: cline, claude, opencode, amp, codex, gemini, cursor, pi
It sits in Agent Workflows, covering Session handoff. The repository describes itself as: Comprehensive configuration management for AI coding tools - Replicate my complete setup for Claude Code, OpenCode, Amp, Li, Codex and Claude Code Switch with custom… The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 62c9227. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
cline, claude, opencode, amp, codex, gemini, cursor, pi
From compatibility in the SKILL.md frontmatter.
Pickup loads about 248 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 85 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.
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.
The full file from jellydn/my-ai-tools at commit 62c9227, republished under its MIT licence (© jellydn). 85 words, ~248 tokens.
.claude/skills/pickup/SKILL.md (or your agent's skills folder).Resumes work from previous handoff sessions which are stored in .planning/handoffs/.
/pickup [HANDOFF_FILE]
If no handoff file is specified, will show available handoffs and prompt for selection.
.planning/handoffs/To see available handoffs:
ls -la .planning/handoffs/Handoffs are named in format: [YYYY-MM-DD]-[slug].md
© jellydn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/pickup of jellydn/my-ai-tools.
Open the folder on GitHubat commit 62c9227
Pickup 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 |
|---|---|---|---|---|---|---|
| Pickup this skilljellydn/my-ai-tools | 123 | — | ~248 | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 88k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| 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 | |
| Memori Long-Term MemoryMemoriLabs/Memori | 17k | — | ~2k | Automated safety check: Notes | Custom licence |
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
gastownhall/beads
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.
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.
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.
MemoriLabs/Memori
Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.
liwp/again
A skill your agent uses when working in a repository that uses bd or Beads for durable project task tracking, issue dependencies, blocker management, multi-session handoff, or shared work memory.
jellydn/my-ai-tools
A skill your agent uses when monitoring an open GitHub PR for CI failures, review feedback, mergeability, and safe retries or fixes.
jellydn/my-ai-tools
Posts a concise visual outline as a GitHub pull request comment.
jellydn/my-ai-tools
Manage project knowledge with qmd — captures learnings, decisions, and conventions
jellydn/my-ai-tools
Generate Product Requirements Documents from feature ideas — plans specs and requirements
jellydn/my-ai-tools
Build an interactive report or experiment when the user asks to explore model capabilities.
jellydn/my-ai-tools
Fix PR review comments by implementing requested changes. An agent skill from jellydn/my-ai-tools.
Categories
Resume work from previous handoff sessions stored in .planning/handoffs/. Pickup is an agent skill from jellydn/my-ai-tools.
Pickup fits situations like: tasks that involve Session handoff.
Run `npx skills add jellydn/my-ai-tools --skill pickup -a claude-code`. Or copy the skill folder (skills/pickup in jellydn/my-ai-tools) into .claude/skills/pickup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jellydn/my-ai-tools --skill pickup -a codex`. Or copy the skill folder (skills/pickup in jellydn/my-ai-tools) into .agents/skills/pickup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jellydn/my-ai-tools --skill pickup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pickup, .gemini/skills/pickup, .github/skills/pickup and .opencode/skills/pickup in your project.
SKILL.md names no scripts, command-line tools or credentials: Pickup is instructions for the agent only. Compatibility (from SKILL.md): cline, claude, opencode, amp, codex, gemini, cursor, pi.
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.
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.
Pickup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 248 tokens (SKILL.md is roughly 992 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pickup: Orca CLI (stablyai/orca, 88k stars), Beads Task Memory (gastownhall/beads, 28k stars), Session History Search (slopus/happy, 24k stars) and Paseo Agent Handoff (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jellydn (a GitHub user) maintains it in jellydn/my-ai-tools, which has 123 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 9, 2026.
Source: jellydn/my-ai-tools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.