status

boshu2/agentops · updated Apr 8, 2026

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$npx skills add https://github.com/boshu2/agentops --skill status
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summary

Purpose: Single-screen overview of your current state. What am I working on? What happened recently? What should I do next?

skill.md

/status — Workflow Dashboard

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.


Quick Start

/status              # Full dashboard
/status --json       # Machine-readable JSON output

Execution Steps

Step 1: Gather State (Parallel)

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

Step 2: Render Dashboard

Assemble gathered data into this format. Use Unicode indicators for visual clarity:

  • Pass/healthy: [PASS]
  • Warning/partial: [WARN]
  • Fail/missing: [FAIL]
  • Progress: [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
══════════════════════════════════════════════════

Step 3: Suggest Next Action (State-Aware)

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"

Step 4: JSON Output (--json flag)

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/" 
how to use status

How to use status on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add status
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/boshu2/agentops --skill status

The skills CLI fetches status from GitHub repository boshu2/agentops and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/status

Reload or restart Cursor to activate status. Access the skill through slash commands (e.g., /status) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

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

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.572 reviews
  • Zaid Kim· Dec 28, 2024

    I recommend status for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Harper Ghosh· Dec 8, 2024

    Registry listing for status matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Diya Taylor· Dec 4, 2024

    status fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Xiao Bhatia· Dec 4, 2024

    Useful defaults in status — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Harper Gupta· Dec 4, 2024

    status has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Harper Martinez· Nov 27, 2024

    status reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Layla Brown· Nov 23, 2024

    status is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hassan Ramirez· Nov 23, 2024

    We added status from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Harper Wang· Nov 23, 2024

    Solid pick for teams standardizing on skills: status is focused, and the summary matches what you get after install.

  • Zaid 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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