help

Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill help
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summary

### Help

  • description: "Analyzes what is done and the users query and offers advice on what to do next. Use if user says what should I do next or what do I do now or I'm stuck or I don't know what to do"
  • argument-hint: "[optional: what you just finished, e.g. 'finished design-review' or 'stuck on ADRs']"
  • allowed-tools: Read, Glob, Grep
skill.md
name
help
description
"Analyzes what is done and the users query and offers advice on what to do next. Use if user says what should I do next or what do I do now or I'm stuck or I don't know what to do"
argument-hint
"[optional: what you just finished, e.g. 'finished design-review' or 'stuck on ADRs']"
user-invocable
true
allowed-tools
Read, Glob, Grep
context
| !echo "=== Live Project State ===" && echo "Stage: $(cat production/stage.txt 2>/dev/null | tr -d '[:space:]' || echo 'not set')" && echo "Latest sprint: $(ls -t production/sprints/*.md 2>/dev/null | head -1 || echo 'none')" && echo "Session state: $(head -5 production/session-state/active.md 2>/dev/null || echo 'none')"
model
haiku

Studio Help — What Do I Do Next?

This skill is read-only — it reports findings but writes no files.

This skill figures out exactly where you are in the game development pipeline and tells you what comes next. It is lightweight — not a full audit. For a full gap analysis, use /project-stage-detect.


Step 1: Read the Catalog

Read .claude/docs/workflow-catalog.yaml. This is the authoritative list of all phases, their steps (in order), whether each step is required or optional, and the artifact globs that indicate completion.


Step 1b: Find Skills Not in the Catalog

After reading the catalog, Glob .claude/skills/*/SKILL.md to get the full list of installed skills. For each file, extract the name: field from its frontmatter.

Compare against the command: values in the catalog. Any skill whose name does not appear as a catalog command is an uncataloged skill — still usable but not part of the phase-gated workflow.

Collect these for the output in Step 7 — show them as a footer block:

### Also installed (not in workflow)
- `/skill-name` — [description from SKILL.md frontmatter]
- `/skill-name` — [description]

Only show this block if at least one uncataloged skill exists. Limit to the 10 most relevant based on the user's current phase (QA skills in production, team skills in production/polish, etc.).


Step 2: Determine Current Phase

Check in this order:

  1. Read production/stage.txt — if it exists and has content, this is the authoritative phase name. Map it to a catalog phase key:

    • "Concept" → concept
    • "Systems Design" → systems-design
    • "Technical Setup" → technical-setup
    • "Pre-Production" → pre-production
    • "Production" → production
    • "Polish" → polish
    • "Release" → release
  2. If stage.txt is missing, infer phase from artifacts (most-advanced match wins):

    • src/ has 10+ source files → production
    • production/stories/*.md exists → pre-production
    • docs/architecture/adr-*.md exists → technical-setup
    • design/gdd/systems-index.md exists → systems-design
    • design/gdd/game-concept.md exists → concept
    • Nothing → concept (fresh project)

Step 3: Read Session Context

Read production/session-state/active.md if it exists. Extract:

  • What was most recently worked on
  • Any in-progress tasks or open questions
  • Current epic/feature/task from STATUS block (if present)

This tells you what the user just finished or is stuck on — use it to personalize the output.


Step 4: Check Step Completion for the Current Phase

For each step in the current phase (from the catalog):

Artifact-based checks

If the step has artifact.glob:

  • Use Glob to check if files matching the pattern exist
  • If min_count is specified, verify at least that many files match
  • If artifact.pattern is specified, use Grep to verify the pattern exists in the matched file
  • Complete = artifact condition is met
  • Incomplete = artifact is missing or pattern not found

If the step has artifact.note (no glob):

  • Mark as MANUAL — cannot auto-detect, will ask user

If the step has no artifact field:

  • Mark as UNKNOWN — completion not trackable (e.g. repeatable implementation work)

Special case: production phase — read sprint-status.yaml

When the current phase is production, check for production/sprint-status.yaml before doing any glob-based story checks. If it exists, read it directly:

  • Stories with status: in-progress → surface as "currently active"
  • Stories with status: ready-for-dev → surface as "next up"
  • Stories with status: done → count as complete
  • Stories with status: blocked → surface as blocker with the blocker field

This gives precise per-story status without markdown scanning. Skip the glob artifact check for the implement and story-done steps — the YAML is authoritative.

Special case: repeatable: true (non-production)

For repeatable steps outside production (e.g. "System GDDs"), the artifact check tells you whether any work has been done, not whether it's finished. Label these differently — show what's been detected, then note it may be ongoing.


Step 5: Find Position and Identify Next Steps

From the completion data, determine:

  1. Last confirmed complete step — the furthest completed required step
  2. Current blocker — the first incomplete required step (this is what the user must do next)
  3. Optional opportunities — incomplete optional steps that can be done before or alongside the blocker
  4. Upcoming required steps — required steps after the current blocker (show as "coming up" so user can plan ahead)

If the user provided an argument (e.g. "just finished design-review"), use that to advance past the step they named even if the artifact check is ambiguous.


Step 6: Check for In-Progress Work

If active.md shows an active task or epic:

  • Surface it prominently at the top: "It looks like you were working on [X]"
  • Suggest continuing it or confirm if it's done

Step 7: Present Output

Keep it short and direct. This is a quick orientation, not a report.

## Where You Are: [Phase Label]

**In progress:** [from active.md, if any]

### ✓ Done
- [completed step name]
- [completed step name]

### → Next up (REQUIRED)
**[Step name]** — [description]
Command: `[/command]`

### ~ Also available (OPTIONAL)
- **[Step name]** — [description] → `/command`
- **[Step name]** — [description] → `/command`

### Coming up after that
- [Next required step name] (`/command`)
- [Next required step name] (`/command`)

---
Approaching **[next phase]** gate → run `/gate-check` when ready.

Formatting rules:

  • for confirmed complete
  • for the current required next step (only one — the first blocker)
  • ~ for optional steps available now
  • Show commands inline as backtick code
  • If a step has no command (e.g. "Implement Stories"), explain what to do instead of showing a slash command
  • For MANUAL steps, ask the user: "I can't tell if [step] is done — has it been completed?"

Verdict: COMPLETE — next steps identified.


Step 8: Gate Warning (if close)

After the current phase's steps, check if the user is likely approaching a gate:

  • If all required steps in the current phase are complete (or nearly complete), add: "You're close to the [Current] → [Next] gate. Run /gate-check when ready."
  • If multiple required steps remain, skip the gate warning — it's not relevant yet.

Step 9: Escalation Paths

After the recommendations, if the user seems stuck or confused, add:

---
Need more detail?
- `/project-stage-detect` — full gap analysis with all missing artifacts listed
- `/gate-check` — formal readiness check for your next phase
- `/start` — re-orient from scratch

Only show this if the user's input suggested confusion (e.g. "I don't know", "stuck", "lost", "not sure"). Don't show it for simple "what's next?" queries.


Collaborative Protocol

  • Never auto-run the next skill. Recommend it, let the user invoke it.
  • Ask about MANUAL steps rather than assuming complete or incomplete.
  • Match the user's tone — if they sound stressed ("I'm totally lost"), be reassuring and give one action, not a list of six.
  • One primary recommendation — the user should leave knowing exactly one thing to do next. Optional steps and "coming up" are secondary context.
how to use help

How to use help on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add help
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill help

The skills CLI fetches help from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/help

Reload or restart Cursor to activate help. Access the skill through slash commands (e.g., /help) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.672 reviews
  • Maya Choi· Dec 28, 2024

    help fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Nia Perez· Dec 28, 2024

    Registry listing for help matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sofia Li· Dec 24, 2024

    Useful defaults in help — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Nia Ndlovu· Dec 16, 2024

    I recommend help for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hana Flores· Dec 12, 2024

    Keeps context tight: help is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Dec 4, 2024

    Useful defaults in help — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ren Martin· Dec 4, 2024

    We added help from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Nov 23, 2024

    help has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ren Dixit· Nov 23, 2024

    Keeps context tight: help is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hana Torres· Nov 19, 2024

    help is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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