agentleFS
bks-labbks-lab/open-bridge/skills/dashboard/SKILL.md

dashboard

Skill13 starsChanged 13 days agoMITView on GitHub

Per-project view: open GitHub board items, recent commits and deployment health for the project detected from the current directory, in the terminal or as HTML. Not the daily overview (briefing), not the web cockpit (/cockpit). Trigger: "/dashboard", "/dashboard --all", "/dashboard --html", "show dashboard", "show tasks", "tasks for this project".

60 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use activity, telemetry and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • gokite-aiSkill

    activity

    View transaction history and recent account activity. Invoke when the user asks about past spending, wants to verify a payment went through, check if an order completed, review wallet transfers, or see a log of all account actions. Covers wallet transfers, faucet drops, API payments, shopping checkouts, agent registrations, and session approvals.

    Also in 3 projects that use this

  • OpenAISkill

    telemetry

    Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions.

    Also in 3 projects that use this

  • anombyte93Skill

    discover

    Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the exit. Extracts constraints, calibrates scale (Solo / Team / Enterprise), and advances the pipeline to GENERATE.

    Also in 7 projects that use this

  • soilmassSkill

    export

    Animation export configurations including format selection, resolution, framerate, quality, and optimization settings. Use when rendering animations for web, mobile, video, or social media. Provides tokens for all export parameters across Lottie, GIF, video, and sprite sheet formats.

    Also in 4 projects that use this

  • seongjaeryuSkill

    save

    Complete and save your current thinking to Bindly

    Also in 4 projects that use this

  • seongjaeryuSkill

    organize

    Organize knowledge into Sets

    Also in 3 projects that use this

The file

Files
SKILL.md

Dashboard

Render a project dashboard in the terminal showing tasks, recent git activity, and deployment status. Reads project configuration from the Project Registry (workflow/projects/*.yaml) and repo metadata from ecosystem.yaml.

Decision Tree

User wants to...
├── Dashboard for current project    → /dashboard (auto-detect)
├── Dashboard for all projects       → /dashboard --all
├── Dashboard with HTML view         → /dashboard --html
├── Specific project dashboard       → /dashboard {name}
└── Questions about project status   → Answer from data, don't render full dashboard

Commands

CommandBehavior
/dashboardAuto-detect project, terminal output
/dashboard --allAll projects, global view
/dashboard --htmlTerminal + HTML in iTerm2 split-pane

Workflow

  1. Detect project — Read references/data-sources.md for the 4-phase auto-detection algorithm (AGENTS.md/CLAUDE.md section → git remote → CWD → --all)
  2. Fetch data — Read references/data-sources.md § Data Fetching for the 5 parallel data sources (tasks, commits, sparklines, health, issues)
  3. Render terminal — Read references/terminal-rendering.md for layout rules
  4. Render HTML (if --html) — Read references/html-template.md for specs

Terminal Layout (quick reference)

Single-Project

{project.name} Dashboard

╭──────────────────────────────────────────────────────────────────────────╮
│  {Focus: last In-Progress task title or last commit message}             │
│  Last commit {relative_time} on {branch}                                 │
╰──────────────────────────────────────────────────────────────────────────╯

  {repo}    {commit_msg_short}                              {Xh} ago

── Tasks ({n} open) ────────────────────────────────────────────────────────

  #{id}   {title_max40}                      {status}   {assignee}
       + {n} in Backlog

── Git ────────────────────────────────────────────────────────────────────

  {repo_short}   {branch}   {sparkline}   {n} commits (7d)

── Deployment ─────────────────────────────────────────────────────────────

  {app_name}   {status}   build {date}

Global (--all)

Dashboard (Global)

╭──────────────────────────────────────────────────────────────────────────╮
│  {n} projects active  |  {n} open Tasks  |  {n} In Progress              │
╰──────────────────────────────────────────────────────────────────────────╯

── {Project1} ({n} open) ──────────────────────────────────────────────────

  #{id}   {title}                            {status}   {assignee}
       + {n} more

Display Rules

  • Max 5 tasks per project in single view, 3 in global view
  • Task title: max 40 chars, truncate with ..
  • Omit Deployment section if no health_checks configured
  • Omit Git section if no local repo found
  • Filter out done_states from project config

Integration with Bridge

  • /briefing Stream B uses the same GitHub data — dashboard is the visual companion
  • What needs a person is the inbox (scripts/inbox.py list), shown first by /briefing, not a dashboard tile
  • Project Registry (workflow/projects/*.yaml) is the single source of truth for field values, status mappings, and health check URLs
  • ecosystem.yaml provides repo paths and org structure for auto-detection

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.