automation-offer-workbench
Use when productizing automation into reviewable offers.
Skill by AvaTar-ArTs
Chalk Labs
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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-automation-offer-workbench
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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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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- None asked for
- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/automation-offer-workbench
What's inside
- Skill name
automation-offer-workbench- Description
- Use when productizing automation into reviewable offers.
- License
- MIT
- Instructions
- 62 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Automation Offer Workbench
## Overview
Create a provider-agnostic workbench that turns a client need into an automation plan, tool or MCP adapter, service package, proof asset, documentation, and buyer-facing handoff.
## When to Use
Use when combining Seller OS, media organizer, Fiverr, MCP, Python automation, evidence, and fulfillment workflows into one buyer-safe system.
## Prerequisites
- Preserve `~/fiverr` as the canonical root.
- Separate historical conversation evidence from current-market validation.
- Use agents: `project-launch-manager`, `project-shipper`, `technical-writer`, and `code-reviewer`.
- Start with read-only or preview-only behavior.
## How to Run
1. Gather the request, buyer scenario, source evidence, and desired deliverable.
2. Model entities: Offer, Buyer Scenario, Evidence Item, Source Asset, Workflow State, Approval Gate, Tool, Package, and Handoff.
3. Define states: clarify → fill → preview → approve → package → validate → handoff → platform hold.
4. Define provider-agnostic tool contracts and least-privilege MCP access.
5. Build the smallest local vertical slice.
6. Add preview and dry-run output before write-capable behavior.
7. Generate service copy and proof assets only from approved evidence.
8. Add regression tests and independent review.
9. Produce a local-ready handoff and explicit manual next actions.
## Quick Reference
```text
Skills: content-strategy → domain-modeling → build-mcp-server → mcp-integration
→ quality-regression-testing → narrative-documentation
Agents: project-launch-manager → project-shipper → technical-writer → code-reviewer
Canonical root: ~/fiverr
Default mode: local, preview-first, provider-agnostic
```
## Approval Gates
Require explicit approval before importing drafts, changing canonical state, enabling write-capable MCP tools, exposing a tunnel, using credentials, automating a marketplace, contacting buyers, publishing, submitting, or claiming current pricing/demand/outcomes.
## Common Pitfalls
- Duplicating or relocating `~/fiverr`.
- Claiming current buyer demand from historical material.
- Adding write-capable MCP tools before preview and regression coverage.
- Publishing offer language without evidence or scope boundaries.
## Verification Checklist
- [ ] Canonical root is preserved.
- [ ] Buyer scenario and scope are explicit.
- [ ] Historical claims are marked separately from current claims.
- [ ] Preview and dry-run output exist before mutation.
- [ ] Secret redaction and hold behavior are tested.
- [ ] MCP permissions and tool boundaries are documented.
- [ ] Generated buyer package links to evidence.
- [ ] Independent code and workflow review completed.From AvaTar-ArTs/all-agent-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- 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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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
automation-offer-workbench skill. Agent Mart. https://agentmart.dev/skills/avatar-arts-automation-offer-workbench (last updated 2026-10-24)