Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
Universal skill diagnosis and optimization tool. An agent skill from catlog22/Claude-Code-Workflow.
$ npx skills add catlog22/Claude-Code-Workflow --skill skill-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install catlog22/Claude-Code-Workflow skill-tuning --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/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/skill-tuning .claude/skills/skill-tuning && 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 "skill-tuning" agent skill from https://github.com/catlog22/Claude-Code-Workflow/tree/main/.claude/skills/skill-tuning into .claude/skills/skill-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-tuning", 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/catlog22/Claude-Code-Workflow/tree/main/.claude/skills/skill-tuningType 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 catlog22/Claude-Code-Workflow --skill skill-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install catlog22/Claude-Code-Workflow skill-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/skill-tuning .agents/skills/skill-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-tuning" agent skill from https://github.com/catlog22/Claude-Code-Workflow/tree/main/.claude/skills/skill-tuning into .agents/skills/skill-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-tuning", 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 catlog22/Claude-Code-Workflow --skill skill-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install catlog22/Claude-Code-Workflow skill-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/skill-tuning .cursor/skills/skill-tuning && 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 "skill-tuning" agent skill from https://github.com/catlog22/Claude-Code-Workflow/tree/main/.claude/skills/skill-tuning into .cursor/skills/skill-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-tuning", 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/catlog22/Claude-Code-Workflow.git --path .claude/skills/skill-tuning--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 catlog22/Claude-Code-Workflow --skill skill-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install catlog22/Claude-Code-Workflow skill-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/skill-tuning .gemini/skills/skill-tuning && 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 "skill-tuning" agent skill from https://github.com/catlog22/Claude-Code-Workflow/tree/main/.claude/skills/skill-tuning into .gemini/skills/skill-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-tuning", 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 catlog22/Claude-Code-Workflow skill-tuningInstalls 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 catlog22/Claude-Code-Workflow --skill skill-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/skill-tuning .github/skills/skill-tuning && 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 "skill-tuning" agent skill from https://github.com/catlog22/Claude-Code-Workflow/tree/main/.claude/skills/skill-tuning into .github/skills/skill-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-tuning", 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 catlog22/Claude-Code-Workflow --skill skill-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install catlog22/Claude-Code-Workflow skill-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/skill-tuning .opencode/skills/skill-tuning && 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 "skill-tuning" agent skill from https://github.com/catlog22/Claude-Code-Workflow/tree/main/.claude/skills/skill-tuning into .opencode/skills/skill-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-tuning", 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.
skill-tuningUniversal skill diagnosis and optimization tool. An agent skill from catlog22/Claude-Code-Workflow.
Skill Tuning is an agent skill from catlog22/Claude-Code-Workflow. Universal skill diagnosis and optimization tool. Detect and fix skill execution issues including context explosion, long-tail forgetting, data flow disruption, and agent coordination failures. Supports Gemini CLI for deep analysis. Triggers on "skill tuning", "tune skill", "skill diagnosis", "optimize skill", "skill debug".
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 29 other files (for example `phases/actions/action-abort.md`, `phases/actions/action-analyze-requirements.md` and `phases/actions/action-apply-fix.md`).
It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: JSON-driven multi-agent cadence-team development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 07491b0. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
AgentAskUserQuestionReadWriteBashGlobGrepmcp__ace-tool__search_contextFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and 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.
Skill Tuning loads about 1.7k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 341 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Agent, AskUserQuestion, Read, Write, Bash, Glob, Grep, mcp__ace-tool__search_contextAutomated 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 catlog22/Claude-Code-Workflow at commit 07491b0, republished under its MIT licence (© catlog22). 341 words, ~1,671 tokens.
.claude/skills/skill-tuning/SKILL.md (or your agent's skills folder). This skill also uses 27 other files; get the full folder from GitHub.Autonomous diagnosis and optimization for skill execution issues.
┌─────────────────────────────────────────────────────┐
│ Phase 0: Read Specs (mandatory) │
│ → problem-taxonomy.md, tuning-strategies.md │
└─────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────┐
│ Orchestrator (state-driven) │
│ Read state → Select action → Execute → Update → ✓ │
└─────────────────────────────────────────────────────┘
↓ ↓
┌──────────────────────┐ ┌──────────────────┐
│ Diagnosis Phase │ │ Gemini CLI │
│ • Context │ │ Deep analysis │
│ • Memory │ │ (on-demand) │
│ • DataFlow │ │ │
│ • Agent │ │ Complex issues │
│ • Docs │ │ Architecture │
│ • Token Usage │ │ Performance │
└──────────────────────┘ └──────────────────┘
↓
┌───────────────────┐
│ Fix & Verify │
│ Apply → Re-test │
└───────────────────┘| Priority | Problem | Root Cause | Fix Strategy |
|---|---|---|---|
| P0 | Authoring Violation | Intermediate files, state bloat, file relay | eliminate_intermediate, minimize_state |
| P1 | Data Flow Disruption | Scattered state, inconsistent formats | state_centralization, schema_enforcement |
| P2 | Agent Coordination | Fragile chains, no error handling | error_wrapping, result_validation |
| P3 | Context Explosion | Unbounded history, full content passing | sliding_window, path_reference |
| P4 | Long-tail Forgetting | Early constraint loss | constraint_injection, checkpoint_restore |
| P5 | Token Consumption | Verbose prompts, state bloat | prompt_compression, lazy_loading |
See specs/problem-taxonomy.md for:
See specs/tuning-strategies.md for:
| Step | Action | Orchestrator Decision | Output |
|---|---|---|---|
| 1 | action-init | status='pending' | Backup, session created |
| 2 | action-analyze-requirements | After init | Required dimensions + coverage |
| 3 | Diagnosis (6 types) | Focus areas | state.diagnosis.{type} |
| 4 | action-gemini-analysis | Critical issues OR user request | Deep findings |
| 5 | action-generate-report | All diagnosis complete | state.final_report |
| 6 | action-propose-fixes | Issues found | state.proposed_fixes[] |
| 7 | action-apply-fix | Pending fixes | Applied + verified |
| 8 | action-complete | Quality gates pass | session.status='completed' |
| Category | Actions | Purpose |
|---|---|---|
| Setup | action-init | Initialize backup, session state |
| Analysis | action-analyze-requirements | Decompose user request via Gemini CLI |
| Diagnosis | action-diagnose-{context,memory,dataflow,agent,docs,token_consumption} | Detect category-specific issues |
| Deep Analysis | action-gemini-analysis | Gemini CLI: complex/critical issues |
| Reporting | action-generate-report | Consolidate findings → final_report |
| Fixing | action-propose-fixes, action-apply-fix | Generate + apply fixes |
| Verify | action-verify | Re-run diagnosis, check gates |
| Exit | action-complete, action-abort | Finalize or rollback |
Full action details: phases/actions/
Single source of truth: .workflow/.scratchpad/skill-tuning-{ts}/state.json
{
"status": "pending|running|completed|failed",
"target_skill": { "name": "...", "path": "..." },
"diagnosis": {
"context": {...},
"memory": {...},
"dataflow": {...},
"agent": {...},
"docs": {...},
"token_consumption": {...}
},
"issues": [{"id":"...", "severity":"...", "category":"...", "strategy":"..."}],
"proposed_fixes": [...],
"applied_fixes": [...],
"quality_gate": "pass|fail",
"final_report": "..."
}See phases/state-schema.md for complete schema.
See phases/orchestrator.md for:
# Basic skill diagnosis
/skill-tuning "Fix memory leaks in my skill"
# Deep analysis with Gemini
/skill-tuning "Architecture issues in async workflow"
# Focus on specific areas
/skill-tuning "Optimize token consumption and fix agent coordination"
# Custom issue
/skill-tuning "My skill produces inconsistent outputs"After completion, review:
.workflow/.scratchpad/skill-tuning-{ts}/state.json - Full state with final_reportstate.final_report - Markdown summary (in state.json)state.applied_fixes - List of applied fixes with verification results| Document | Purpose |
|---|---|
| specs/problem-taxonomy.md | Classification + detection patterns |
| specs/tuning-strategies.md | Fix implementation guide |
| specs/dimension-mapping.md | Dimension ↔ Spec mapping |
| specs/quality-gates.md | Quality verification criteria |
| phases/orchestrator.md | Workflow orchestration |
| phases/state-schema.md | State structure definition |
| phases/actions/ | Individual action implementations |
© catlog22, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 27 other files in .claude/skills/skill-tuning of catlog22/Claude-Code-Workflow.
Open the folder on GitHubat commit 07491b0
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in catlog22/Claude-Code-Workflow, which our catalogue first saw on October 7, 2026.
Skill Tuning 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 |
|---|---|---|---|---|---|---|
| Skill Tuning this skillcatlog22/Claude-Code-Workflow | 2.1k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Orca CLIstablyai/orca | 87k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT |
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
builderz-labs/mission-control
Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
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.
catlog22/Claude-Code-Workflow
Generate or convert Claude Code prompt files — command orchestrators, skill files, agent role definitions, or style conversion of existing files.
catlog22/Claude-Code-Workflow
CCW command help system. An agent skill from catlog22/Claude-Code-Workflow.
catlog22/Claude-Code-Workflow
Deep collaborative analysis team skill. An agent skill from catlog22/Claude-Code-Workflow.
catlog22/Claude-Code-Workflow
Unified brainstorming skill with dual-mode operation — auto mode (framework generation, parallel multi-role analysis, cross-role synthesis) and single role analysis.
catlog22/Claude-Code-Workflow
Chain-based CCW workflow orchestrator. An agent skill from catlog22/Claude-Code-Workflow.
catlog22/Claude-Code-Workflow
Check workflow delegation prompts against agent role definitions for content separation violations.
Categories
Universal skill diagnosis and optimization tool. An agent skill from catlog22/Claude-Code-Workflow. Skill Tuning is an agent skill from catlog22/Claude-Code-Workflow. Universal skill diagnosis and optimization tool.
Skill Tuning fits situations like: skill diagnosis; tasks that involve Multi-agent orchestration.
Run `npx skills add catlog22/Claude-Code-Workflow --skill skill-tuning -a claude-code`. Or copy the skill folder (.claude/skills/skill-tuning in catlog22/Claude-Code-Workflow) into .claude/skills/skill-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add catlog22/Claude-Code-Workflow --skill skill-tuning -a codex`. Or copy the skill folder (.claude/skills/skill-tuning in catlog22/Claude-Code-Workflow) into .agents/skills/skill-tuning 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 catlog22/Claude-Code-Workflow --skill skill-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-tuning, .gemini/skills/skill-tuning, .github/skills/skill-tuning and .opencode/skills/skill-tuning in your project.
SKILL.md names no scripts, command-line tools or credentials: Skill Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Agent, AskUserQuestion, Read, Write, Bash, Glob, Grep, mcp__ace-tool__search_context.
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 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.
Skill Tuning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Skill Tuning: Orca CLI (stablyai/orca, 87k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
catlog22 (a GitHub user) maintains it in catlog22/Claude-Code-Workflow, which has 2,130 GitHub stars. The repository holds 82 skills in this directory. The repository was last updated on June 18, 2026.
Source: catlog22/Claude-Code-Workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.