Regenerates the living board overview dashboard from current board state. Scans all open issues, computes health metrics, and updates the meta:board-overview issue.
Scanned 9/5/2026
Install to Claude Code
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---
id: hatch3r-board-refresh
name: hatch3r-board-refresh
type: skill
description: Regenerates the living board overview dashboard from current board state. Scans all open issues, computes health metrics, and updates the meta:board-overview issue.
tags: [board, ctx:team-only]
quality_charter: agents/shared/quality-charter.md
efficiency_patterns: agents/shared/efficiency-patterns.md
cache_friendly: true
parallel_tool_default: true
---
## §0 Detect Ambiguity (P8 B1)
Before any action, scan the user's request and provided context for unresolved questions in scope, acceptance criteria, irreversibility, or constraint conflicts (contradictory inputs, missing target, unknown convention). If any are found, ask the user via the platform-native question tool per `agents/shared/user-question-protocol.md` — do not proceed under silent assumption. This is the default path, not an exception. Acceptable to proceed without asking ONLY when scope is single-target, single-concern, and the brief alone is testable. Any residual ambiguity discovered mid-workflow invokes the same protocol.
## Integration with GitHub Agentic Workflows
hatch3r's board commands operate as the **implementation orchestration layer** above GitHub Agentic Workflows. While GitHub's agentic workflows handle continuous automation (triage, testing, documentation), hatch3r's board commands orchestrate the full delivery pipeline:
- **board-init** sets up the project management structure that agentic workflows operate within
- **board-fill** creates the work items that agentic workflows can triage and label
- **board-groom** refines existing work items as priorities, scope, and dependencies evolve over time
- **board-pickup** orchestrates the implementation -> review -> merge pipeline that goes beyond what generic agentic workflows provide
- **board-refresh** regenerates the living dashboard on demand without running a full board command
Board health findings surfaced by board-refresh (missing metadata, stale issues, blocked chains, epic ordering discrepancies) can be acted on via `hatch3r-board-groom`, which performs the same diagnostics but adds the ability to apply fixes.
GitHub Agentic Workflows and hatch3r are complementary: use agentic workflows for continuous background automation, use hatch3r board commands for structured delivery orchestration.
---
## Shared Context
**Read the `hatch3r-board-shared` skill at the start of the run.** It contains Board Configuration, Platform Detection, Platform Context, Board Sync Procedure, and tooling directives. Cache all values for the duration of this run.
## Token-Saving Directives
Follow the **Token-Saving Directives** in `hatch3r-board-shared`.
---
## Workflow
Execute these steps in order. **Do not skip any step.**
### Step 1: Read Configuration
1. Read `.hatch3r/hatch.json` and cache the full config (top-level `owner`/`repo`, `platform`, and `board` section).
2. Read `platform` from `.hatch3r/hatch.json`. Default to `github` if missing.
3. Resolve owner/repo per `hatch3r-board-shared`: use top-level `owner`/`repo` first, fall back to `board.owner`/`board.repo` if top-level values are empty.
4. If both are missing, abort with: "Cannot refresh board -- owner and repo are not configured in `.hatch3r/hatch.json`. Run `board-init` first."
5. Note `board.projectNumber` -- if null, board sync will be skipped later.
---
### Step 2: Full Board Scan
Perform ONE comprehensive scan and cache everything for subsequent steps.
#### 2a. Fetch Open Issues / Work Items & PR Association
**Platform-specific: Fetch all open items**
**If platform is `github`:**
1. Fetch ALL open issues: `gh issue list -R {owner}/{repo} --state open --limit 500 --json number,title,labels,state,createdAt,updatedAt,body`. Paginate if necessary. Fall back to `list_issues` MCP if gh CLI fails.
2. Fetch ALL open PRs: `gh pr list -R {owner}/{repo} --state open --json number,title,body`. Build a PR-to-issue association map by parsing `Closes #N`, `Fixes #N`, and `Resolves #N` references from PR bodies. Cache as `pr_association_map`.
**If platform is `azure-devops`:**
1. Fetch ALL active work items: `az boards query --org https://dev.azure.com/{namespace} --project {project} --wiql "SELECT [System.Id], [System.Title], [System.State], [System.Tags], [System.CreatedDate], [System.ChangedDate], [System.Description] FROM WorkItems WHERE [System.State] <> 'Closed' AND [System.State] <> 'Removed'"`. Fall back to `list_work_items` MCP.
2. Fetch ALL active PRs: `az repos pr list --org https://dev.azure.com/{namespace} --project {project} --status active`. Build PR-to-work-item association map from linked work items.
**If platform is `gitlab`:**
1. Fetch ALL open issues: `glab issue list -R {namespace}/{project} --state opened --per-page 100`. Paginate if necessary.
2. Fetch ALL open MRs: `glab mr list -R {namespace}/{project} --state opened`. Build MR-to-issue association map from `Closes #N` references in MR descriptions.
2. For each issue/work item, extract labels/tags from the response.
3. Check for sub-issues/child work items:
- **GitHub:** `issue_read` with `method: get_sub_issues`.
- **Azure DevOps:** `az boards work-item relation list --id N` for parent-child relations.
- **GitLab:** `glab api projects/{project_id}/issues/{N}/links` for related issues.
Cache parent-child relationships.
4. Parse `## Dependencies` sections from issue bodies for dependency references. Recognize both hard (`Blocked by #N`, `Depends on #N`) and soft (`Recommended after #N`) dependency types. Track the type for each edge in the dependency graph -- only hard dependencies block pickup and exclude issues from Implementation Lanes.
5. **Exclude** any issue labeled `meta:board-overview` from all analysis and listings.
#### 2b. Categorize Issues
Classify every open issue (excluding `meta:board-overview`) into Epic / Sub-issue / Standalone per **Board Health Computation → Categorize Issues** in `hatch3r-board-shared`.
---
### Step 3: Compute Board Health & Metrics
Analyze cached data to produce board health diagnostics.
#### 3a. Status Distribution
Count issues per status label per the **Board Health Computation → Status Distribution** table in `hatch3r-board-shared`.
#### 3b. Missing Metadata Detection
Flag issues missing any required `type:*` / `priority:*` / `executor:*` label (optional, noted: `area:*`, `risk:*`) per **Board Health Computation → Missing Metadata Detection** in `hatch3r-board-shared`.
#### 3c. Dependency Health
1. Build a dependency graph from parsed `## Dependencies` sections.
2. Identify **blocked chains**: issues with unsatisfied blockers (blocker is still open).
3. Count issues with `has-dependencies` label.
4. **Epic ordering consistency**: For each epic, compare its `## Implementation Order` levels against the DAG derived from its sub-issues' `## Dependencies` sections. Flag epics where the two diverge (e.g., a sub-issue's `## Dependencies` lists a blocker not reflected in the epic's level ordering, or the epic lists a level order that contradicts the dependency DAG). Report discrepancies in Board Health.
5. **Cross-epic dependencies**: Scan hard dependencies (`Blocked by #N`) where the blocking issue and the dependent issue belong to different epics. Aggregate these into epic-level relationships: "Epic A blocks Epic B via sub-issue #X blocking sub-issue #Y." Collect for the Cross-Epic Dependencies section of the overview.
#### 3d. Stale Issue Detection
Flag open issues that are potentially stale:
- `status:triage` with no update in 14+ days (based on `updatedAt`).
- `status:in-progress` with no update in 7+ days (may be abandoned).
#### 3e. Lane Computation & Dependency-Waiting Partition
Compute Implementation Lanes and the Waiting on Dependencies list for all `status:ready` issues using the **Lane Computation Algorithm** (steps 1-12) from `commands/board/shared-board-overview.md`. Use the dependency graph built in Step 3c as input. The algorithm partitions ready issues into available (all blockers satisfied) and dependency-waiting (unsatisfied blockers), computes lanes from available issues, then computes inter-lane dependency edges, lane phases, and the Lane Dependency Map (steps 10-12).
#### 3f. PR Linkage Gaps
Using the `pr_association_map` from Step 2a, identify `status:in-progress` and `status:in-review` issues that have no open PR referencing them. These represent active work with no visible code contribution and should be flagged in Board Health.
#### 3g. Unlinked Sub-Issue Detection
For each epic, compare the sub-issue references in the epic body (checklist items, `> Parent:` references) against the native sub-issue list from `issue_read` with `method: get_sub_issues`. Flag sub-issues that appear in the body but are not natively linked.
#### 3h. Board Sync Drift Detection
If `board.projectNumber` is configured, compare label-based status (`status:*` labels) against board column status via `gh project item-list {board.projectNumber} --owner {board.owner} --format json`. Flag issues where the label status and board column status diverge (e.g., label says `status:ready` but board shows "In Progress").
#### 3i. Dependency Format Inconsistencies
Scan all `## Dependencies` sections for `Depends on #N` references (legacy format). Flag these for normalization to `Blocked by #N` (canonical format per the Dependency Data Model in `commands/board/shared-board-overview.md`).
---
### Step 4: Regenerate Board Overview
Build the dashboard body following the **Board Overview Issue Format** and **Model Selection Heuristic** from `commands/board/shared-board-overview.md`.
#### 4a. Model Assignment
For each open issue, assign a recommended model using the **Model Selection Heuristic (Quality-First)** from `commands/board/shared-board-overview.md`. Apply that heuristic as the single source of truth; do not duplicate it here.
#### 4b. Compose Dashboard Body
Assemble the dashboard using the **Board Overview Issue Format** template from `commands/board/shared-board-overview.md`. Populate it with:
1. **Status Summary** from Step 3a counts.
2. **In Progress** and **In Review** from cached issues with the corresponding status labels. Include the `PR` column using `pr_association_map` from Step 2a — show `#{pr_number}` if an open PR references the issue, `--` if none.
3. **Implementation Lanes** from Step 3e lane computation results (available issues only). Include the Lane Dependency Map, phase annotations in lane headers, `> After:` prerequisite lines for Phase 2+ lanes, and Cross-Lane Dependencies table.
4. **Cross-Epic Dependencies** from Step 3c cross-epic dependency scan (omit if none).
5. **Cross-Lane Dependencies** from Step 3e inter-lane edge computation (omit if none).
6. **Waiting on Dependencies** from Step 3e partition results (dependency-waiting issues: `status:ready` with unsatisfied hard blockers).
7. **Externally Blocked** from cached issues with `status:blocked`.
8. **Backlog / Triage** from cached issues with `status:triage`.
9. **Board Health** from Steps 3b (missing metadata), 3d (stale issues), 3c (blocked chains, epic ordering discrepancies), 3e (lane sequencing warnings), 3f (PR linkage gaps), 3g (unlinked sub-issues), 3h (board sync drift), 3i (dependency format inconsistencies).
---
### Step 5: Update Overview Issue
#### 5a. Find Existing Overview Issue
Search the cached board inventory for an open issue labeled `meta:board-overview`.
**If multiple found:** Use the one with the lowest issue number (oldest). Warn: "Multiple board overview issues found (#{N}, #{M}). Updating #{lowest}. Consider closing duplicates."
#### 5b. Update or Create
**Platform-specific: Update or create overview issue**
**If found:** Update the issue/work item body:
**If platform is `github`:**
```bash
gh issue edit {number} -R {owner}/{repo} --body "{generated dashboard body}"
```
Fall back to `issue_write` MCP with `method: update` if gh CLI fails.
**If platform is `azure-devops`:**
```bash
az boards work-item update --org https://dev.azure.com/{namespace} --id {number} --description "{generated dashboard body}"
```
**If platform is `gitlab`:**
```bash
glab issue update {number} -R {namespace}/{project} --description "{generated dashboard body}"
```
**If not found:** Create a new board overview issue:
**If platform is `github`:**
```bash
gh issue create -R {owner}/{repo} --title "[Board Overview] {repo} Project Board" --label "meta:board-overview" --body "{generated dashboard body}"
```
Fall back to `issue_write` MCP with `method: create` if gh CLI fails.
**If platform is `azure-devops`:**
```bash
az boards work-item create --org https://dev.azure.com/{namespace} --project {project} --type "User Story" --title "[Board Overview] {project} Project Board" --description "{generated dashboard body}" --fields "System.Tags=meta:board-overview"
```
**If platform is `gitlab`:**
```bash
glab issue create -R {namespace}/{project} --title "[Board Overview] {project} Project Board" --label "meta:board-overview" --description "{generated dashboard body}"
```
Then sync the new issue to the board and set its status to **Backlog** using the **Board Sync Procedure** from `hatch3r-board-shared`.
#### 5c. Summary
Present a confirmation:
```
Board Refresh Complete:
Project: {owner}/{repo}
Overview issue: #{number} (updated / created)
Open issues: {total} ({epics} epics, {sub} sub-issues, {standalone} standalone)
Status: {ready} ready ({available} available, {depWaiting} waiting on deps), {inProgress} in progress, {inReview} in review, {blocked} ext. blocked, {triage} triage
Lanes: {laneCount} lanes across {phaseCount} phases ({available} available issues)
Health: {N} missing metadata, {M} stale, {K} blocked chains, {P} PR linkage gaps, {L} unlinked sub-issues, {D} sync drift, {F} dep format issues
```
---
## Fan-out Discipline (P8 B2)
Fan-out scales with task size; token cost never justifies serializing independent work (`rules/hatch3r-fan-out-discipline.md` P8 B2; `agents/shared/efficiency-patterns.md`). Tier boundaries for THIS skill:
- Tier 1 (single-board refresh, no re-scoping): inline.
- Tier 2 (multi-lane refresh with re-scoping or reclassification): spawn parallel sub-agents per lane via the Task tool.
- Tier 3 (cross-board reconciliation): one fresh sub-agent per board or lane; orchestrator integrates only.
Emit `sub_agents_spawned: { count, rationale, task_structure }` in your output.
## Error Handling
- **Issue listing failure:** Retry once, then fall back to MCP. If both fail, abort with platform-specific auth guidance:
- **GitHub:** "Cannot scan board -- check `gh auth login` status and repository access."
- **Azure DevOps:** "Cannot scan board -- check `az login` status and project access."
- **GitLab:** "Cannot scan board -- check `glab auth login` status and project access."
- **Issue edit/create failure:** Retry once, then fall back to MCP. If both fail, present the generated dashboard body to the user so they can update the issue manually.
- **Sub-issue/relation read failure:** Warn and continue. Epic/sub-issue relationships will be incomplete; note in the summary.
- **Board sync failure (new overview issue only):** Warn and continue. The issue is created but not synced to the board.
## Guardrails
- **Never modify any issue other than the `meta:board-overview` issue.** This command is read-only for all other issues.
- **Exclude the board overview issue from its own listings.** It must never appear in any status table.
- **One board overview issue at a time.** If multiple are found, update the oldest and warn about duplicates.
- **Follow the Platform CLI-first approach** from `hatch3r-board-shared`. Use platform CLI as primary; MCP as fallback.
- **No ASK checkpoints.** This command performs a single, non-destructive mutation (updating the dashboard). It runs to completion without user prompts.
- **Respect the Model Selection Heuristic.** Always include the `Model` column using the quality-first heuristic from `commands/board/shared-board-overview.md`.
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