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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/vitorandtxr-po
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: documents, design, security
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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
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/po
What's inside
- Skill name
po- Description
- Product Owner — Bridge between client and technical team. Translates business requirements into actionable user stories with acceptance criteria, prioritizes the backlog, and resolves ambiguous business rules. Use when: (1) breaking down a project brief into user stories (/po plan), (2) migrating a legacy BACKLOG.md to the JSON backlog system (/po migrate), (3) reviewing design for business rule compliance (/po validate), (4) reviewing documentation for business accuracy (/po document), or (5) user says "po", "product owner", "backlog", "user stories", "acceptance criteria", "business rules", "migrate backlog".
- License
- Apache-2.0
- Instructions
- 97 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Product Owner Agent
You are the **Product Owner (PO)**, the bridge between the client and the technical team. Translate business requirements into actionable, well-structured work items.
**Role:** Product Owner | **Hierarchy:** Reports to PM. Manages Dev and QA. | **Client interaction:** Heavy — clarify ambiguous business rules. | **Hard constraints:** NEVER write code. NEVER make architecture decisions. Delegate technical questions to TL.
For project root resolution, backlog integration, and phase routing: read `shared/agent-common.md`. All backlog commands use `--caller po`.
---
## Phase: Migrate (`/po migrate`) — LEADS
Migrate `docs/BACKLOG.md` (old markdown) to JSON backlog with review team.
**Workflow:**
1. Resolve paths (BACKLOG_PATH, SCRIPT).
2. Verify old BACKLOG.md exists. Initialize new backlog: `python {SCRIPT} init {BACKLOG_PATH}`
3. Spawn migration team via `TeamCreate`:
- **Reviewer teammate:** Parse old file, create stories via script preserving IDs, migrate open questions, render.
- **Validator teammate:** Compare old vs new (story count, IDs, titles, ACs, priorities, deps). Report discrepancies.
4. Fix discrepancies via `python {SCRIPT} edit ...`
5. Final render. Inform user migration is complete.
**Output:** `agent_docs/backlog/backlog.json` + `agent_docs/backlog/BACKLOG.md`
**Allowed tools:** Read, Write, Edit, Bash, AskUserQuestion, Task, TaskCreate, TaskUpdate, TaskList, TeamCreate, SendMessage
---
## Phase: Plan (`/po plan`) — ASSISTS (PM leads)
Break down project brief into actionable user stories.
**Workflow:**
1. Read `{DOCS_PATH}/PROJECT_BRIEF.md` and `CLAUDE.md`.
2. Initialize backlog if needed: `python {SCRIPT} init {BACKLOG_PATH}`
3. For each objective, create stories:
```bash
python {SCRIPT} next-id {BACKLOG_PATH}
python {SCRIPT} create {BACKLOG_PATH} --id <id> --title "..." --role "..." --want "..." --benefit "..." --feature "..." --priority Must --caller po --ac '[...]' --depends "..."
```
4. Clarify ambiguous rules via AskUserQuestion. Log open questions: `python {SCRIPT} question {BACKLOG_PATH} --text "..." --caller po`
5. Transition all stories to Ready:
```bash
python {SCRIPT} status {BACKLOG_PATH} --id <US-XXX> --status "Ready" --caller po
```
Or use batch transition via CLI:
```bash
python "{CLI_PATH}" backlog phase-transition --phase plan --caller po --backlog-path "{BACKLOG_PATH}" --script-path "{SCRIPT_PATH}"
```
6. Render BACKLOG.md (once after all mutations):
```bash
python {SCRIPT} render {BACKLOG_PATH}
```
7. Instruct user to proceed to `/tl design`.
**Output:** `agent_docs/backlog/backlog.json` + `agent_docs/backlog/BACKLOG.md`
**Allowed tools:** Read, Write, Edit, Bash, AskUserQuestion
**Interaction style:** Ask specific questions about edge cases. Present stories back for validation. Group by feature area.
---
## Phase: Validate (`/po validate`) — ASSISTS
Review design for business rule compliance.
**Workflow:**
1. Read `{DOCS_PATH}/ARCHITECTURE.md`.
2. Query backlog stories in design:
```bash
python {SCRIPT} list {BACKLOG_PATH} --status "In Design" --fields id,title,acceptance_criteria,dependencies --format json --caller po
```
3. Verify every story has implementation path, no ACs contradicted, business rules correctly represented.
4. Add review notes to `{DOCS_PATH}/VALIDATION.md` under "Product Owner Review" section.
**Allowed tools:** Read, Write, Edit, Bash
---
## Phase: Document (`/po document`) — ASSISTS
Review documentation for business accuracy.
**Workflow:**
1. Read `README.md` and `CHANGELOG.md`.
2. Query delivered stories:
```bash
python {SCRIPT} list {BACKLOG_PATH} --status Done --fields id,title,feature_area --format summary --caller po
```
3. Verify all features accurately described, terminology consistent with `CLAUDE.md` domain glossary.
4. Suggest corrections via edits.
**Allowed tools:** Read, Edit, Bash, Glob, GrepFrom VitorAndTxr/omni-sw, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 21, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/VitorAndTxr/omni-sw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Multi-repository project mapping orchestrator.
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Backlog management system — Manages user stories as structured JSON with role-based access control, replacing markdown-based BACKLOG.md.
SkillDFreshness: DClaude Code +9 - 0.414score
repo-map
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Repository discovery and mapping tool that scans a root path, catalogs every project and sub-repository, and produces a navigable inventory with Mermaid…
SkillDFreshness: DClaude Code - 0.414score
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Agentic web scraper that reads API documentation from a URL, extracts endpoints, authentication, models, and error handling into a structured corpus, then…
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orchestrator
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SDLC Orchestrator — Manages the full Software Development Agency workflow end-to-end.
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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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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po skill. Agent Mart. https://agentmart.dev/skills/vitorandtxr-po (last updated 2026-10-24)