agent-workflow-catalog
Use when routing complex work through ordered skills and agents.
Skill by AvaTar-ArTs
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/avatar-arts-agent-workflow-catalog
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-workflow-catalog
What's inside
- Skill name
agent-workflow-catalog- Description
- Use when routing complex work through ordered skills and agents.
- License
- MIT
- Instructions
- 149 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- workflows.md · references/
SKILL.md (first lines)
# Agent Workflow Catalog ## Overview Route a complex request before solving it. Select a goal-specific workflow, run its skills in order, add specialist agents as independent thinking lanes, gather evidence, state approval gates, and return a reviewable execution handoff. This skill is a canonical routing procedure. It does not replace domain skills or specialist agents and does not authorize mutation, publication, credential use, payment, deletion, or external submission. Detailed routes live in [references/workflows.md](references/workflows.md). Canonical related capability: - `ecosystem-layering` — `~/.agent-skills/skills/autonomous-ai-agents/ecosystem-layering/SKILL.md` The portability route intentionally uses this skill to separate canonical sources, runtime adapters, and librarian documentation. ## When to Use Use when a request spans multiple skills, agents, tools, artifacts, hosts, or approval boundaries, especially for: - exported conversations and knowledge systems; - Seller OS and Automation Offer Workbench work; - visual assets, HyperFrames, or launch packages; - cross-host skill and agent portability; - multi-agent implementation or review; - ecosystem audits and evidence ledgers. Do not use this as a substitute for `systematic-debugging`, `test-driven-development`, or another rigid process skill when that skill directly governs the task. ## Prerequisites - Canonical source: `~/.agent-skills/`. - Hermes runtime, when applicable: `~/.hermes/`. - A stated goal or a request that can be converted into one. - Permission boundaries and destination artifacts identified. ## How to Run 1. Identify the user's real goal, not just the surface artifact. 2. Select the closest route from `references/workflows.md`. 3. Add process skills first, then domain skills. 4. Add specialist agents as independent review or execution lanes. 5. Gather source paths, requirements, current-state checks, and constraints. 6. State stop conditions before mutation. 7. Return the routing contract below. 8. If the user asks to proceed, execute only the approved route and verify outputs. ## Quick Reference Primary routes: - exports → `chat-history-export` → `research-source-intake` → `capability-atlas` → `narrative-documentation` → `chroma` - Automation Offer Workbench → `content-strategy` → `domain-modeling` → `build-mcp-server` → `mcp-integration` → `quality-regression-testing` → `narrative-documentation` - visual proof library → `structured-asset-pipeline` → `image-to-code` → `design-md` → `hyperframes` → `hyperframes-creative` - safe automation → `automation-recommender` → `hook-development` → `quality-regression-testing` → `verification-before-completion` - portability → `capability-atlas` → `ecosystem-layering` → `skill-development` - implementation validation → `systematic-debugging` → `test-driven-development` → `quality-regression-testing` → `requesting-code-review` Common agents: - evidence and context: `filesystem-inventory`, `context-fetcher`, `knowledge-fetcher` - documentation: `documentation-manager`, `technical-writer` - ecosystem: `ecosystem-analyzer`, `ecosystem-learning`, `ecosystem-dev` - delivery: `project-launch-manager`, `project-shipper`, `content-creator` - review: `code-reviewer`, `testing-specialist` ## Routing Contract ```markdown ## Agent Workflow Route Intent: <what the user is really trying to accomplish> Goal: <one-sentence outcome> Required skills: 1. <skill> — <why it comes first> 2. <skill> — <what it gates> Specialist agents: 1. <agent> — <decision or inspection lane> 2. <agent> — <independent challenge> Evidence to gather: - <path, source, requirement, or check> Execution order: 1. <step> 2. <step> 3. <step> Approval gates: - <mutation, credential, publication, or submission boundary> Artifacts: - <expected path or output> Verification: - <real command, test, or review> Uncertainty and next action: - <unknown or reversible next inquiry> ``` ## Procedure ### 1. Identify the route Choose the narrowest route that covers the goal. If no route fits, create a provisional route with an explicit `unknown` status rather than inventing a capability. ### 2. Separate method from persona Skills define how work proceeds. Agents provide specialist perspectives. Do not add an agent merely because its name sounds relevant; state the decision or evidence lane it owns. ### 3. Separate historical from current evidence For exported material, classify claims as historical, reusable principle, or requiring current verification. Do not turn old pricing, API, hosting, marketplace, or platform claims into current advice without fresh research. ### 4. Protect sources and boundaries
From AvaTar-ArTs/all-agent-skills, MIT.
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Signals
- Stars
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- Forks
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- Open issues
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- Last commit (this folder)
- Aug 18, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/AvaTar-ArTs/all-agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-workflow-catalog skill. Agent Mart. https://agentmart.dev/skills/avatar-arts-agent-workflow-catalog (last updated 2026-10-24)