Smithery Logo
MCPsSkillsDocsPricing
Login
NewFlame, an assistant that learns and improves. Available onTelegramSlack
    rjroy

    backlog

    rjroy/backlog
    Planning
    1

    About

    SKILL.md

    Install

    • Telegram
      Telegram
    • Slack
      Slack
    • Claude Code
      Claude Code
    • Codex
      Codex
    • OpenClaw
      OpenClaw
    • Cursor
      Cursor
    • Amp
      Amp
    • GitHub Copilot
      GitHub Copilot
    • Gemini CLI
      Gemini CLI
    • Kilo Code
      Kilo Code
    • Junie
      Junie
    • Replit
      Replit
    • Windsurf
      Windsurf
    • Cline
      Cline
    • Continue
      Continue
    • OpenCode
      OpenCode
    • OpenHands
      OpenHands
    • Roo Code
      Roo Code
    • Augment
      Augment
    • Goose
      Goose
    • Trae
      Trae
    • Zencoder
      Zencoder
    • Antigravity
      Antigravity
    • Download skill
    ├─
    ├─
    └─
    Smithery Logo

    Give agents more agency

    Resources

    DocumentationPrivacy PolicySystem Status

    Company

    PricingAboutBlog

    Connect

    © 2026 Smithery. All rights reserved.

    About

    This skill should be used when the user asks to "review backlog", "analyze backlog quality", "backlog health", "recommend items", or invokes /compass-rose:backlog...

    SKILL.md

    Backlog Review Mode

    You are now in Backlog Review Mode. Your role is to read all active issue files, assess their quality and readiness, and recommend the top 2-3 items to work on next based on priority, size, and definition quality.

    Your Focus

    • Issue discovery: Glob all .lore/work/issues/*.html files
    • Status filtering: Include items with status open or wontfix (exclude done and closed)
    • Quality analysis: Spawn backlog-analyzer agent to assess definition quality
    • Recommendation: Present 2-3 best options with detailed rationale

    Workflow

    1. Discover Issue Files

    Use Glob to find all issue files:

    .lore/work/issues/*.html
    

    If no files exist, stop and say:

    No issue files found in .lore/work/issues/.
    
    To get started, create your first issue with /compass-rose:add-item.
    

    2. Parse Each Issue File

    For each file, use Read to extract the meta tags from the <head> and the body text:

    Meta tags to extract:

    • priority — e.g., P0, P1, P2, P3
    • size — e.g., S, M, L, XL
    • status — e.g., open, wontfix, done, closed
    • date — creation date
    • title — issue title (also available as <title> tag)

    Body text: Extract the readable text content from the HTML body.

    3. Filter by Status

    Include items where status is open or wontfix. Exclude items where status is done or closed.

    wontfix items are intentionally included. They are deferred, not done, and should surface if context changes.

    If no items remain after filtering:

    No open or deferred issues found in .lore/work/issues/.
    
    All issues are either done or closed.
    
    To add new work, use /compass-rose:add-item.
    

    4. Prepare Data for Agent Analysis

    Build a JSON array from the filtered items:

    [
      {
        "filepath": ".lore/work/issues/fix-login-timeout.html",
        "title": "Fix login timeout",
        "priority": "P1",
        "size": "S",
        "status": "open",
        "date": "2026-05-01",
        "body": "<p>Users experiencing timeouts when submitting the login form...</p>"
      }
    ]
    

    5. Spawn Backlog Analyzer Agent

    Invoke the backlog-analyzer agent with the prepared item data:

    Analyze these project items and recommend the top 2-3 to work on next:
    
    [Paste the formatted JSON array]
    
    Focus on:
    - Definition quality (clarity, completeness, acceptance criteria)
    - Priority distribution
    - Size balance (prefer a mix of quick wins and substantial work)
    - Overall backlog health
    
    Return your analysis with detailed rationale for each recommendation.
    

    Agent Reference: compass-rose/agents/backlog-analyzer.md

    The agent will:

    1. Score each item on definition quality (0-10 scale)
    2. Identify well-defined items (score 8-10)
    3. Calculate recommendation scores (priority + size + quality)
    4. Return top 2-3 recommendations with rationale
    5. Provide backlog health summary
    6. List items needing clarification

    6. Present Agent Recommendations

    Display the agent's analysis output directly to the user. The agent returns structured markdown with:

    # Backlog Analysis Results
    
    **Items Analyzed**: [N total]
    **Well-Defined Items**: [X items with score 8-10]
    **Items Needing Clarification**: [Y items with score <5]
    
    ## Top Recommendations
    
    ### Recommendation 1: [Title] ([filename])
    
    **Priority**: [P0/P1/P2/P3] | **Size**: [S/M/L/XL] | **Definition Quality**: [Well-Defined/Defined/Vague/Poorly Defined] ([score]/10)
    
    **Rationale**:
    - [Why this is recommended - link priority, size, definition quality]
    - [What makes it ready to work on]
    - [Any specific strengths]
    
    **Definition Assessment**:
    - **Clarity** ([0-3]/3): [Brief assessment]
    - **Completeness** ([0-3]/3): [Brief assessment]
    - **Acceptance Criteria** ([0-4]/4): [Brief assessment]
    
    **File**: [filepath]
    
    ---
    
    ### Recommendation 2: [Title] ([filename])
    [Same structure as Recommendation 1]
    
    ---
    
    ### Recommendation 3: [Title] ([filename]) [OPTIONAL]
    [Same structure as Recommendation 1]
    
    ---
    
    ## Backlog Health Summary
    
    **Priority Distribution**: [X P0, Y P1, Z P2, W P3]
    **Size Distribution**: [A S, B M, C L, D XL]
    **Definition Quality**:
    - Well-Defined (8-10): [X items]
    - Defined (5-7): [Y items]
    - Vague (2-4): [Z items]
    - Poorly Defined (0-1): [W items]
    
    **Observations**:
    - [Notable patterns]
    - [Quality trends]
    - [Recommendations for backlog improvement]
    
    ## Items Needing Clarification
    
    1. **[Title]** ([filename]) - Score: [X]/10
       - Missing: [What needs to be added]
       - Suggest: [How to improve definition]
    

    7. Handle Edge Cases

    All Items Poorly Defined:

    If the backlog-analyzer agent reports all items have low quality scores (<5), still present the top 2-3 but emphasize the need for clarification:

    Warning: Most backlog items lack sufficient detail.
    
    The recommendations below are based on priority and size only. Each item needs
    clarification before implementation can begin. Consider adding:
    - Clear problem or feature descriptions
    - Reproduction steps (for bugs) or use cases (for features)
    - Explicit acceptance criteria
    
    Recommended next step: Clarify the highest-priority items before starting work.
    

    Missing Priority or Size Fields:

    Warning: Some items are missing priority or size fields.
    
    Recommendations for those items will fall back to definition quality and date.
    Consider setting priority and size in each issue file's meta tags.
    

    Requirements Mapping

    This skill implements the following specification requirements:

    • REQ-CR-5: Read and analyze file-based issue tracking from .lore/work/issues/
    • REQ-F-11: Analyze backlog items and recommend based on priority, size, and definition quality
    • REQ-F-12: Identify items that are well-defined (clear description and acceptance criteria)
    • REQ-F-13: Present 2-3 options when asked for recommendations, with rationale
    • REQ-NF-3: Handle missing custom fields gracefully (warn, don't fail)
    • REQ-NF-4: Explain reasoning when making recommendations

    Anti-Patterns to Avoid

    • Don't query GitHub: This skill reads local files only
    • Don't exclude wontfix: These items are deferred, not done; the agent needs them
    • Don't fail silently: If meta tags are missing, warn and continue with defaults
    • Don't bypass the agent: Always use backlog-analyzer for quality assessment
    • Don't truncate agent output: Present the agent's full analysis to maintain transparency

    Related Skills

    • /compass-rose:next-item - Get an immediate recommendation for next work item (faster, simpler)
    • /compass-rose:add-item - Create a new issue file
    • /compass-rose:reprioritize - Codebase-aware priority updates

    Comparison to /compass-rose:next-item

    Aspect /compass-rose:next-item /compass-rose:backlog
    Speed Fast Slower
    Scope Ready items only All open and wontfix items
    Analysis Simple priority sort Deep quality assessment
    Output Quick recommendation Comprehensive backlog health report
    Use Case "What's next?" "What's the state of my backlog?"

    References

    • Spec: REQ-CR-5, REQ-F-11, REQ-F-12, REQ-F-13, REQ-NF-3, REQ-NF-4
    • Agent: compass-rose/agents/backlog-analyzer.md (quality scoring and recommendation)
    Recommended Servers
    Productboard
    Productboard
    ThinAir Data
    ThinAir Data
    Food Safety Intelligence
    Food Safety Intelligence
    Repository
    rjroy/vibe-garden
    Files