Purpose: Single-screen overview of your current state. What am I working on? What happened recently? What should I do next?
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstatusExecute the skills CLI command in your project's root directory to begin installation:
Fetches status from boshu2/agentops and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate status. Access via /status in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Purpose: Single-screen overview of your current state. What am I working on? What happened recently? What should I do next?
YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.
CLI dependencies: bd, ao, gt — all optional. Shows what's available, skips what isn't.
/status # Full dashboard
/status --json # Machine-readable JSON output
Run ALL of the following in parallel bash calls for speed:
Call 1 — RPI + Ratchet + Task State:
# Current ratchet phase
if [ -f .agents/ao/chain.jsonl ]; then
tail -1 .agents/ao/chain.jsonl 2>/dev/null
else
echo "NO_CHAIN"
fi
# Ratchet status via CLI
if command -v ao &>/dev/null; then
ao ratchet status --json 2>/dev/null || echo "RATCHET_UNAVAILABLE"
ao task-status --json 2>/dev/null || echo "TASK_STATUS_UNAVAILABLE"
fi
Call 2 — Beads / Epic State:
if command -v bd &>/dev/null; then
echo "=== EPIC ==="
bd list --type epic --status open 2>/dev/null | head -5
echo "=== IN_PROGRESS ==="
bd list --status in_progress 2>/dev/null | head -5
echo "=== READY ==="
bd ready 2>/dev/null | head -5
echo "=== TOTAL ==="
bd list 2>/dev/null | wc -l
else
echo "BD_UNAVAILABLE"
fi
Call 3 — Knowledge Flywheel:
# Learnings count
echo "LEARNINGS=$(ls .agents/learnings/ 2>/dev/null | wc -l | tr -d ' ')"
echo "PATTERNS=$(ls .agents/patterns/ 2>/dev/null | wc -l | tr -d ' ')"
echo "PENDING=$(ls .agents/forge/ 2>/dev/null | wc -l | tr -d ' ')"
# Flywheel health + badge
if command -v ao &>/dev/null; then
ao metrics flywheel status 2>/dev/null || echo "FLYWHEEL_UNAVAILABLE"
ao badge 2>/dev/null || echo "BADGE_UNAVAILABLE"
fi
Call 4 — Recent Activity + Git:
# Recent sessions
if [ -d .agents/ao/sessions ]; then
ls -t .agents/ao/sessions/*.md 2>/dev/null | head -3
else
echo "NO_SESSIONS"
fi
# Recent council verdicts
ls -lt .agents/council/ 2>/dev/null | head -4
# Git state
echo "=== GIT ==="
git branch --show-current 2>/dev/null
git log --oneline -3 2>/dev/null
git status --short 2>/dev/null | head -5
Call 5 — Inbox:
if command -v gt &>/dev/null; then
gt mail inbox 2>/dev/null | head -5
else
echo "GT_UNAVAILABLE"
fi
Call 6 — Session Quality Signals:
if [ -f .agents/signals/session-quality.jsonl ]; then
tail -10 .agents/signals/session-quality.jsonl
else
echo "NO_SIGNALS"
fi
Assemble gathered data into this format. Use Unicode indicators for visual clarity:
[PASS][WARN][FAIL][3/7] with bar ███░░░░══════════════════════════════════════════════════
Workflow Dashboard
══════════════════════════════════════════════════
RPI PROGRESS
Phase: <current phase from chain.jsonl: research | plan | implement | validate | idle>
Gate: <last completed gate or "none">
─────────────────────────────────
research ── plan ── implement ── validate
<mark current position with arrow or highlight>
ACTIVE EPIC
<epic title and ID, or "No active epic">
Progress: <completed>/<total> issues <progress bar>
In Progress: <list in-progress issues, max 3>
READY TO WORK
<top 3 unblocked issues from bd ready>
<or "No ready issues — create work with /plan">
RECENT VALIDATIONS
<last 3 council reports with verdict>
<format: date verdict target>
<or "No recent validations">
KNOWLEDGE FLYWHEEL
Learnings: <count> Patterns: <count> Pending: <count>
Health: <flywheel status or "ao not installed">
Badge: <ao badge output or omit if unavailable>
TASK MATURITY
<ao task-status summary: active tasks with CASS maturity levels, or omit if unavailable>
RECENT SESSIONS
<last 3 session summaries with dates>
<or "No session history">
GIT STATE
Branch: <current branch>
Recent: <last 3 commits, one-line>
Changes: <uncommitted file count or "clean">
INBOX
<message count or "No messages" or "gt not installed">
SESSION QUALITY SIGNALS
<last 10 entries from .agents/signals/session-quality.jsonl as table>
| Timestamp | Signal | Detail | Session |
|-----------|--------|--------|---------|
<parsed from JSON lines: .timestamp, .signal, .detail, .session>
<or "No quality signals recorded." if file missing or empty>
──────────────────────────────────────────────────
SUGGESTED NEXT ACTION
<state-aware suggestion — see Step 3>
──────────────────────────────────────────────────
QUICK COMMANDS
/research Deep codebase exploration
/plan Decompose epic into issues
/pre-mortem Validate plan before coding
/implement Execute a single issue
/crank Autonomous epic execution
/validation Full close-out and learnings
/vibe Targeted code review
══════════════════════════════════════════════════
Evaluate state top-to-bottom. Use the FIRST matching condition:
| Priority | Condition | Suggestion |
|---|---|---|
| 1 | No ratchet chain exists | "Start with /quickstart or /research to begin a workflow" |
| 2 | Research done, no plan | "Run /plan to decompose research into actionable issues" |
| 3 | Plan done, no pre-mortem | "Run /pre-mortem to validate the plan before coding" |
| 4 | Issues in-progress | "Continue working: /implement <issue-id> or /crank for autonomous execution" |
| 5 | Ready issues available | "Pick up next issue: /implement <first-ready-id>" |
| 6 | Uncommitted changes | "Review recent work: /validation" |
| 7 | Implementation done, no vibe | "Run /validation for final close-out" |
| 8 | Recent WARN/FAIL verdict | "Address findings in <report-path>, then re-run /validation" |
| 10 | Vibe passed, no post-mortem | "Run /validation to complete closeout and extract learnings" |
| 11 | Pending knowledge items | "Promote learnings: ao pool list --status pending --json, then ao pool stage <id> and ao pool promote <id>" |
| 12 | Clean state, nothing pending | "All clear. Start with /research or /plan to find new work" |
If the user passed --json, output all dashboard data as structured JSON instead of the visual dashboard:
{
"rpi": {
"phase": "implement",
"last_gate": "plan",
"chain_entries": 3
},
"epic": {
"id": "ag-042",
"title": "Epic title",
"progress": { "completed": 3, "total": 7, "in_progress": ["ag-042.2"] }
},
"ready_issues": ["ag-042.4", "ag-042.5"],
"validations": [
{ "date": "2026-02-09", "verdict": "PASS", "target": "src/auth/" ✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.5★★★★★72 reviews- ZZaid Kim★★★★★Dec 28, 2024
I recommend status for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- HHarper Ghosh★★★★★Dec 8, 2024
Registry listing for status matched our evaluation — installs cleanly and behaves as described in the markdown.
- DDiya Taylor★★★★★Dec 4, 2024
status fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- XXiao Bhatia★★★★★Dec 4, 2024
Useful defaults in status — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- HHarper Gupta★★★★★Dec 4, 2024
status has been reliable in day-to-day use. Documentation quality is above average for community skills.
- HHarper Martinez★★★★★Nov 27, 2024
status reduced setup friction for our internal harness; good balance of opinion and flexibility.
- LLayla Brown★★★★★Nov 23, 2024
status is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- HHassan Ramirez★★★★★Nov 23, 2024
We added status from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- HHarper Wang★★★★★Nov 23, 2024
Solid pick for teams standardizing on skills: status is focused, and the summary matches what you get after install.
- ZZaid Taylor★★★★★Oct 18, 2024
We added status from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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