Automated summary
Displays a repository dashboard with prioritized pull requests and issues, CI/CD health, latest deployment, and suggested next tasks.
Strengths
- Automatically prioritizes PRs (security, Lambda@Edge, assigned, mentioned, age) through a computed priority score
- Offers three verbosity levels (compact, detailed, full) to match the amount of context needed
- Produces actionable suggested tasks with the exact slash command to run, such as /pr-review followed by the PR number
- Reports GitHub Actions workflow health and warns when the GitHub API rate limit runs low
Limitations
- Requires a bundled bash script (.claude/commands/dashboard/scripts/dashboard.sh) and GitHub API access, using at least 6 API calls per run
- Heavily tailored to the Pulumi docs repository (hardcoded dashboard title, is_pulumi_member flag, security/lambda-edge types)
- GitHub only: no GitLab, Bitbucket, or other forges
Use it at the start of a work session to see which PRs, issues, and CI problems deserve attention first.
Avoid it on repositories not hosted on GitHub or when the API rate limit is exhausted, since data collection will fail.
Security analysis
CautionThe skill instructs running a bash script that collects repository data, likely using GitHub API calls. This is a legitimate use of powerful tools but involves execution of an external script and network activity. No destructive or exfiltrating actions are evident from the skill text, so it is not risky, but caution is warranted due to the untrusted script and implicit tool usage.
- •Executes a bash script (`dashboard.sh`) whose contents are not included in the skill, so the actual operations cannot be fully audited.
- •Makes network calls to GitHub APIs via the script, which could involve authentication tokens and rate limits.
- •No allowed-tools are declared, yet the skill implicitly requires bash and network access.
Examples
/dashboard/dashboard detailed/dashboard fulldescription: Display repository status with PRs, issues, CI/CD health, and suggested tasks
Repository Dashboard
Use this when: You want a quick overview of repository status, priority work items, and health metrics.
Displays priority PRs/issues, suggested next tasks, CI/CD health, and deployment status with intelligent prioritization based on user context.
Usage
/dashboard [mode]
Modes:
- (none):
compact(default) - Top 5-8 most important items detailed: Top 10-15 items with more contextfull: Everything with complete details
Implementation
Step 1: Collect Data
Run the data collection script:
bash .claude/commands/dashboard/scripts/dashboard.sh
This outputs structured JSON with all repository data.
Step 2: Parse and Present
Parse the JSON output and present it according to the mode requested. The JSON structure is:
{
"user": {
"github_user": "string",
"is_pulumi_member": boolean,
"current_branch": "string",
"uncommitted_changes": number,
"rate_remaining": number
},
"prs": [
{
"number": number,
"title": "string",
"author": {"login": "string"},
"isDraft": boolean,
"createdAt": "timestamp",
"labels": [{"name": "string"}],
"priority": number, // Calculated priority score
"age_days": number, // Days since creation
"type": "security|lambda-edge|normal",
"is_assigned": boolean, // Assigned to current user
"is_mentioned": boolean // User mentioned in PR
}
],
"issues": [
{
"number": number,
"title": "string",
"age_days": number,
"labels": [{"name": "string"}]
}
],
"workflows": {
"status": "HEALTHY|WARNING|CRITICAL|UNKNOWN",
"total_runs": number,
"success_runs": number,
"failure_runs": number,
"success_rate": number,
"recent": [
{
"name": "string",
"status": "string",
"conclusion": "string",
"createdAt": "timestamp"
}
]
},
"deployment": {
"commit": "string",
"timestamp": number // Unix timestamp in seconds
},
"stats": {
"total_prs": number,
"assigned_prs": number,
"total_issues": number,
"assigned_issues": number
}
}
Step 3: Format Dashboard
Create a terminal-friendly dashboard with these sections:
Header Section
════════════════════════════════════════════════════════════════════════════════
📊 PULUMI DOCS DASHBOARD
════════════════════════════════════════════════════════════════════════════════
👤 User: @{github_user} ({internal|external}) | Branch: {branch} | Uncommitted: {count}
If rate_remaining < 50, show warning: ⚠️ GitHub API rate limit low ({count} remaining) - dashboard requires 6+ API calls
Priority Items Section
PRs:
- Sort by
priority(descending), then byage_days(descending) - Show emojis based on type:
- 🔒 =
type: "security" - ⚠️ =
type: "lambda-edge" - 📝 = normal (or draft if
isDraft: true) - 🤖 = bot author (contains
[bot]in username)
- 🔒 =
- Format:
{emoji} #{number} {title} ({type if special}, {age}d) - Truncate titles to 60 characters
Item limits by mode:
- compact: Top 5 PRs
- detailed: Top 10 PRs
- full: Top 20 PRs (or all if less)
Issues:
- Show assigned issues after PRs
- Format:
🐛 #{number} {title} (issue, {age}d) - Same limits as PRs (5/10/20)
Suggested Tasks Section
Generate actionable tasks based on data. Priority order:
-
Security patches (
type: "security"):🔒 Review and merge security patch PR #{number} → /pr-review {number}
-
Uncommitted changes (if
uncommitted_changes > 0):📝 Review and commit {count} uncommitted changes → git status
-
Assigned PRs (
is_assigned: true):🔍 Review assigned PR #{number}: {short_title} → /pr-review {number}- Limit to top 3 by priority
-
Lambda@Edge-risk PRs (
type: "lambda-edge"):⚠️ Review Lambda@Edge dependency PR #{number} (bundle-size check) → /pr-review {number}- Limit to top 2
-
Assigned issues:
🐛 Work on issue #{number}: {short_title} → gh issue view {number}- Limit to top 2
-
Workflow failures (if
status: "CRITICAL"and recent failures):❌ Investigate workflow failure: {name} → gh run list --workflow "{name}"
-
Current branch work (if not on master/main):
🔧 Continue work on branch {current_branch}
Task limits by mode:
- compact: Top 3 tasks
- detailed: Top 5 tasks
- full: Top 10 tasks
Number tasks sequentially: 1., 2., etc.
Health Section
────────────────────────────────────────────────────────────────────────────────
🏥 HEALTH: {emoji} {status} (24h: {total_runs} runs, {success_rate}% success)
────────────────────────────────────────────────────────────────────────────────
Status emojis:
- ✅ = HEALTHY
- ⚠️ = WARNING
- ❌ = CRITICAL
- ❓ = UNKNOWN
Recent workflows (top 3):
- Calculate time ago from
createdAttimestamp - Format:
Recent: {emoji} {name} ({time}, {conclusion}) - Join multiple with
| - Emojis: ✅ success, ❌ failure, ⏳ in_progress, ⏸️ other
Deployment info:
- Calculate time ago from
deployment.timestamp - Format time as
Xm ago,Xh ago, orXd ago - Line:
Deploy: {commit} ({time_ago}) | PRs: {total} open ({assigned} assigned) | Issues: {total} ({assigned} assigned)
Footer
════════════════════════════════════════════════════════════════════════════════
Tip: Use '/dashboard detailed' or '/dashboard full' for more information
Adjust tip based on current mode.
Priority Scoring Algorithm
PRs are scored with these weights (already calculated in JSON):
- +100: Assigned to me
- +80: Mentions me
- +70: Security patch (
deps-security-patchlabel) - +60: Lambda@Edge risk (
deps-lambda-edge-risklabel) - +40: Ready for review (not draft)
- +30: Team member (internal users only)
- +50: Age > 14 days
- +25: Age > 7 days
- -20: Draft
Display Modes
Compact (Default)
- Purpose: Quick status check
- Items: Top 5 PRs/issues, 3 tasks
- Details: Essential info only
- Target: Fits on one screen
Detailed
- Purpose: Standard review workflow
- Items: Top 10 PRs/issues, 5 tasks
- Details: More context per item
- Target: 1-2 screens
Full
- Purpose: Deep investigation
- Items: Top 20+ PRs/issues, 10 tasks
- Details: Complete visibility
- Target: Comprehensive view
Error Handling
If the JSON indicates errors or missing data:
- Show what data is available
- Indicate which sections are unavailable
- Suggest checking GitHub API access or network connection
- Always show local git context (branch, uncommitted changes)
Performance
Target execution time: 3-5 seconds (script runs all API calls in parallel)
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/repository-dashboard-msh3utyy/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/repository-dashboard-msh3utyy' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/repository-dashboard-msh3utyy/download' --output '.skill-downloads/repository-dashboard-msh3utyy/SKILL.md.part' && mv '.skill-downloads/repository-dashboard-msh3utyy/SKILL.md.part' '.skill-downloads/repository-dashboard-msh3utyy/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
This file does not provide a usable name/description header for this native procedure. It remains available to download and inspect; use the manual method below.
Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/repository-dashboard-msh3utyy/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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