MCPInstall

gds-sprint-status

Summarize sprint status and surface risks. Use when the user says "check sprint status" or "show sprint status"

Installs
42
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/bmad-code-org/bmad-module-game-dev-studio --skill gds-sprint-status
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads gds-sprint-status automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Sprint Status Workflow

Goal: Summarize sprint status, surface risks, and recommend the next workflow action.

Your Role: You are a Developer providing clear, actionable sprint visibility. No time estimates — focus on status, risks, and next steps.

Paths

  • sprint_status_file = {implementation_artifacts}/sprint-status.yaml

Input Files

InputPathLoad Strategy
Sprint status{sprint_status_file}FULL_LOAD

Context

  • project_context = **/project-context.md (load if exists)

Conventions

  • Bare paths (e.g. template.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root} is the nearest folder containing _bmad/, starting at the project working directory and moving up through its parents.
  • {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml — defaults
  2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
  3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/_bmad/gds/config.yaml and resolve:

  • user_name
  • communication_language
  • implementation_artifacts

Step 5: Greet the User

Greet {user_name}, speaking in {communication_language}.

Step 6: Execute Append Steps

Execute each entry in {workflow.activation_steps_append} in order.

Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.

EXECUTION

<workflow> <step n="0" goal="Determine execution mode"> <action>Set mode = {{mode}} if provided by caller; otherwise mode = "interactive"</action> <check if="mode == data"> <action>Jump to Step 20</action> </check> <check if="mode == validate"> <action>Jump to Step 30</action> </check> <check if="mode == interactive"> <action>Continue to Step 1</action> </check> </step> <step n="1" goal="Locate sprint status file"> <action>Load {project_context} for project-wide patterns and conventions (if exists)</action> <action>Try {sprint_status_file}</action> <check if="file not found"> <output>❌ sprint-status.yaml not found. Run `/bmad:gds:workflows:sprint-planning` to generate it, then rerun sprint-status.</output> <action>Exit workflow</action> </check> <action>Continue to Step 2</action> </step> <step n="2" goal="Read and parse sprint-status.yaml"> <action>Read the FULL file: {sprint_status_file}</action> <action>Parse fields: generated, last_updated, project, project_key, tracking_system, story_location</action> <action>Parse development_status map. Classify keys:</action> - Epics: keys starting with "epic-" (and not ending with "-retrospective") - Retrospectives: keys ending with "-retrospective" - Stories: everything else (e.g., 1-2-login-form) <action>Map legacy story status "drafted" → "ready-for-dev"</action> <action>Count story statuses: backlog, ready-for-dev, in-progress, review, done</action> <action>Map legacy epic status "contexted" → "in-progress"</action> <action>Count epic statuses: backlog, in-progress, done</action> <action>Count retrospective statuses: optional, done</action>

<action>Validate all statuses against known values:</action>

  • Valid story statuses: backlog, ready-for-dev, in-progress, review, done, drafted (legacy)

  • Valid epic statuses: backlog, in-progress, done, contexted (legacy)

  • Valid retrospective statuses: optional, done

    <check if="any status is unrecognized"> <output>

⚠️ Unknown status detected: {{#each invalid_entries}}

  • {{key}}: "{{status}}" (not recognized) {{/each}}

Valid statuses:

  • Stories: backlog, ready-for-dev, in-progress, review, done
  • Epics: backlog, in-progress, done
  • Retrospectives: optional, done </output> <ask>How should these be corrected? {{#each invalid_entries}} {{@index}}. {{key}}: "{{status}}" → [select valid status] {{/each}}

Enter corrections (e.g., "1=in-progress, 2=backlog") or "skip" to continue without fixing:</ask> <check if="user provided corrections"> <action>Update sprint-status.yaml with corrected values</action> <action>Re-parse the file with corrected statuses</action> </check> </check>

<action>Detect risks:</action>

  • IF any story has status "review": suggest /bmad:gds:workflows:code-review
  • IF any story has status "in-progress" AND no stories have status "ready-for-dev": recommend staying focused on active story
  • IF all epics have status "backlog" AND no stories have status "ready-for-dev": prompt /bmad:gds:workflows:create-story
  • IF last_updated timestamp is more than 7 days old (or last_updated is missing, fall back to generated): warn "sprint-status.yaml may be stale"
  • IF any story key doesn't match an epic pattern (e.g., story "5-1-..." but no "epic-5"): warn "orphaned story detected"
  • IF any epic has status in-progress but has no associated stories: warn "in-progress epic has no stories" </step>
<step n="3" goal="Select next action recommendation"> <action>Pick the next recommended workflow using priority:</action> <note>When selecting "first" story: sort by epic number, then story number (e.g., 1-1 before 1-2 before 2-1)</note> 1. If any story status == in-progress → recommend `dev-story` for the first in-progress story (next_agent = DEVELOPER) 2. Else if any story status == review → recommend `code-review` for the first review story (next_agent = REVIEWER) 3. Else if any story status == ready-for-dev → recommend `dev-story` (next_agent = DEVELOPER) 4. Else if any story status == backlog → recommend `create-story` (next_agent = STORY_AUTHOR) 5. Else if any retrospective status == optional → recommend `retrospective` (next_agent = FACILITATOR) 6. Else → All implementation items done; congratulate the user - you both did amazing work together! <action>Store selected recommendation as: next_story_id, next_workflow_id, next_agent. Note: in the consolidated GDS Phase 4 model, all role labels (DEVELOPER, REVIEWER, STORY_AUTHOR, FACILITATOR) map to the same agent (gds-agent-game-dev / Link Freeman). The labels are kept for downstream consumers that distinguish them semantically.</action> </step> <step n="4" goal="Display summary"> <output> ## 📊 Sprint Status
  • Project: {{project}} ({{project_key}})
  • Tracking: {{tracking_system}}
  • Status file: {sprint_status_file}

Stories: backlog {{count_backlog}}, ready-for-dev {{count_ready}}, in-progress {{count_in_progress}}, review {{count_review}}, done {{count_done}}

Epics: backlog {{epic_backlog}}, in-progress {{epic_in_progress}}, done {{epic_done}}

Next Recommendation: /bmad:gds:workflows:{{next_workflow_id}} ({{next_story_id}})

{{#if risks}} Risks: {{#each risks}}

  • {{this}} {{/each}} {{/if}}

    </output> </step>
<step n="5" goal="Offer actions"> <ask>Pick an option: 1) Run recommended workflow now 2) Show all stories grouped by status 3) Show raw sprint-status.yaml 4) Exit Choice:</ask> <check if="choice == 1"> <output>Run `/bmad:gds:workflows:{{next_workflow_id}}`. If the command targets a story, set `story_key={{next_story_id}}` when prompted.</output> </check> <check if="choice == 2"> <output> ### Stories by Status - In Progress: {{stories_in_progress}} - Review: {{stories_in_review}} - Ready for Dev: {{stories_ready_for_dev}} - Backlog: {{stories_backlog}} - Done: {{stories_done}} </output> </check> <check if="choice == 3"> <action>Display the full contents of {sprint_status_file}</action> </check> <check if="choice == 4"> <action>Exit workflow</action> </check>

<action>Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow.on_complete — if the resolved value is non-empty, follow it as the final terminal instruction before exiting.</action> </step>

<!-- ========================= --> <!-- Data mode for other flows --> <!-- ========================= --> <step n="20" goal="Data mode output"> <action>Load and parse {sprint_status_file} same as Step 2</action> <action>Compute recommendation same as Step 3</action> <template-output>next_workflow_id = {{next_workflow_id}}</template-output> <template-output>next_story_id = {{next_story_id}}</template-output> <template-output>next_agent = {{next_agent}}</template-output> <template-output>count_backlog = {{count_backlog}}</template-output> <template-output>count_ready = {{count_ready}}</template-output> <template-output>count_in_progress = {{count_in_progress}}</template-output> <template-output>count_review = {{count_review}}</template-output> <template-output>count_done = {{count_done}}</template-output> <template-output>epic_backlog = {{epic_backlog}}</template-output> <template-output>epic_in_progress = {{epic_in_progress}}</template-output> <template-output>epic_done = {{epic_done}}</template-output> <template-output>risks = {{risks}}</template-output> <action>Return to caller</action>

<action>Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow.on_complete — if the resolved value is non-empty, follow it as the final terminal instruction before exiting.</action> </step>

<!-- ========================= --> <!-- Validate mode --> <!-- ========================= --> <step n="30" goal="Validate sprint-status file"> <action>Check that {sprint_status_file} exists</action> <check if="missing"> <template-output>is_valid = false</template-output> <template-output>error = "sprint-status.yaml missing"</template-output> <template-output>suggestion = "Run sprint-planning to create it"</template-output> <action>Return</action> </check>

<action>Read and parse {sprint_status_file}</action>

<action>Validate required metadata fields exist: generated, project, project_key, tracking_system, story_location (last_updated is optional for backward compatibility)</action> <check if="any required field missing"> <template-output>is_valid = false</template-output> <template-output>error = "Missing required field(s): {{missing_fields}}"</template-output> <template-output>suggestion = "Re-run sprint-planning or add missing fields manually"</template-output> <action>Return</action> </check>

<action>Verify development_status section exists with at least one entry</action> <check if="development_status missing or empty"> <template-output>is_valid = false</template-output> <template-output>error = "development_status missing or empty"</template-output> <template-output>suggestion = "Re-run sprint-planning or repair the file manually"</template-output> <action>Return</action> </check>

<action>Validate all status values against known valid statuses:</action>

  • Stories: backlog, ready-for-dev, in-progress, review, done (legacy: drafted)
  • Epics: backlog, in-progress, done (legacy: contexted)
  • Retrospectives: optional, done <check if="any invalid status found"> <template-output>is_valid = false</template-output> <template-output>error = "Invalid status values: {{invalid_entries}}"</template-output> <template-output>suggestion = "Fix invalid statuses in sprint-status.yaml"</template-output> <action>Return</action> </check>

<template-output>is_valid = true</template-output> <template-output>message = "sprint-status.yaml valid: metadata complete, all statuses recognized"</template-output> <action>Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow.on_complete — if the resolved value is non-empty, follow it as the final terminal instruction before exiting.</action> </step>

</workflow>

FAQ

What does the gds-sprint-status skill do?

Summarize sprint status and surface risks. Use when the user says "check sprint status" or "show sprint status"

How do I install gds-sprint-status?

Run npx skills add https://github.com/bmad-code-org/bmad-module-game-dev-studio --skill gds-sprint-status in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gds-sprint-status/ (personal) or .claude/skills/gds-sprint-status/ (project).

Which AI agents can use gds-sprint-status?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is gds-sprint-status safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains gds-sprint-status?

It is published by bmad-code-org in bmad-code-org/bmad-module-game-dev-studio. It has 42 recorded installs.

More from bmad-code-org/bmad-module-game-dev-studio

View all →

gds-gdd

bmad-code-org/bmad-module-game-dev-studio

Create, update, or validate a game's Game Design Document. Use when the user wants help producing, editing, or validating a GDD — the primary design artifact covering pillars, mechanics, progression, levels, art, audio, and development epics.

Media & Creative55 installs

gds-brainstorm-game

bmad-code-org/bmad-module-game-dev-studio

Facilitate game brainstorming sessions with game-specific techniques. Use when the user says "brainstorm game" or "game ideas"

Media & Creative52 installs

gds-create-narrative

bmad-code-org/bmad-module-game-dev-studio

Create comprehensive narrative documentation with story structure and world-building. Use when the user says "narrative design" or "create narrative"

Docs & Writing51 installs

gds-create-game-brief

bmad-code-org/bmad-module-game-dev-studio

Create, update, or validate a game brief. Use when the user wants help producing, editing, or validating a game brief before detailed design.

Media & Creative49 installs

gds-agent-game-designer

bmad-code-org/bmad-module-game-dev-studio

Open the skill to read its SKILL.md instructions.

Media & Creative49 installs

gds-ux

bmad-code-org/bmad-module-game-dev-studio

Plan game UX, UI, and HUD design specifications. Use when the user says "lets create game UX", "design the HUD", "create UI specifications", or "help me plan the game UX"

Popular media & creative skills

View category →

hyperframes

heygen-com/hyperframes

Read first to make, edit, animate or render any video with HyperFrames (HTML rendered to video), including launch films, explainers, music videos, charts, maps, vertical clips, title cards, captions and overlays. Holds the render contract, the work loop and what each kind of video needs.

Media & Creative1.2M installs

media-use

heygen-com/hyperframes

Get or make any media for a HyperFrames video - music, sound effects, images, icons, logos, voiceover, avatar and generated video, transcripts, cutouts, colour grades and looks - with HeyGen or free local tools, and mix placed audio. Also for footage that looks dark, flat or dull, or should be stylized or hidden.

Media & Creative1.1M installs

hyperframes-registry

heygen-com/hyperframes

About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.

Media & Creative1M installs

hyperframes-creative

heygen-com/hyperframes

Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use hyperframes-animation.

Media & Creative916.5K installs

ai-video-generation

101-skills/superpowers

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse

Media & Creative881.5K installs

ai-image-generation

101-skills/superpowers

Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image

Media & Creative880.3K installs