gstack-sprint
3-Phase Sprint workflow — design → execute → review with user interaction at decision points
Best use case
gstack-sprint is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
3-Phase Sprint workflow — design → execute → review with user interaction at decision points
Teams using gstack-sprint should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/gstack-sprint/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gstack-sprint Compares
| Feature / Agent | gstack-sprint | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
3-Phase Sprint workflow — design → execute → review with user interaction at decision points
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
<Purpose>
gstack-sprint wraps the 3-Phase Sprint workflow (design→execute→review) as a structured skill to guarantee deterministic execution. Without this skill, the 3-Phase workflow exists only as prompt instructions in boss.md and may be forgotten during long sessions. This skill is the single entry point for end-to-end feature implementation — it coordinates design, execution, and review with user confirmation at each phase boundary.
</Purpose>
<Use_When>
- End-to-end feature implementation ("build this feature", "design it and implement it")
- Build or Mid-sized intent type with implementation phase included
- User says "sprint", "end-to-end", "e2e implementation"
</Use_When>
<Do_Not_Use_When>
- Pure design/planning/idea review without implementation → use /office-hours or /plan-ceo-review directly
- Architecture intent type (design only, no build)
- "just design it", "just plan it", "review my idea" — these route to /office-hours or /plan-ceo-review
- Single-purpose requests: code review → /review, QA → /qa, deploy → /ship
- Trivial fixes, research, documentation
</Do_Not_Use_When>
<Why_This_Exists>
End-to-end feature work fails silently in three predictable ways:
1. Implementation starts before design is aligned — wrong thing built
2. Execution proceeds without structured iteration — partial implementations declared done
3. Review skips comparison against the design doc — drift goes unnoticed
gstack-sprint enforces the three-phase contract: user-confirmed design → automated execution via ralph → user-confirmed review against the design doc. Each phase boundary requires explicit user confirmation before the next phase begins.
</Why_This_Exists>
<Steps>
## Phase 1: Design (interactive — user decisions)
1. **Determine scale** from the user's request:
- Large (new feature, cross-system architecture, significant refactor) → invoke /plan-ceo-review first, then proceed to step 2
- Medium (scoped feature, single-service change) → skip /plan-ceo-review, proceed directly to step 2
2. **Invoke /plan-eng-review** (mandatory for all scales) to produce a structured engineering design document
3. **Surface all key decisions** using AskUserQuestion for each ambiguity:
- Technology choices with tradeoffs
- API contract decisions
- Data model decisions
- Scope boundary decisions
- Do not batch decisions silently — each decision that affects implementation requires explicit user input
4. **Wait for user to confirm "design complete"** before transitioning to Phase 2. Do not proceed to Phase 2 on your own judgment.
5. **Skip condition**: If the user's original message already confirms design is done ("design is done, just build it") → skip Phase 1 entirely and proceed to Phase 2 with the provided design context
6. **Fallback** (gstack not installed): Use the OMC planner agent (opus) to produce a structured plan. Present the plan to the user and wait for their confirmation before proceeding.
---
## Phase 2: Execute (autonomous/automated — ralph)
Phase 2 runs as an independent skill invocation, not nested within gstack-sprint's prompt context. Boss invokes `Skill(skill: "ralph")` for this phase.
1. **Invoke the ralph skill** — ralph internally selects its execution strategy based on scale:
- Parallel multi-agent (ultrawork) for large, multi-story work
- Single executor for simple, well-scoped implementation
2. **ralph Step 7a** (inside ralph): attempts gstack /review for code review — non-blocking, skips silently if gstack is not installed or /review fails
3. **ralph Step 7b** (inside ralph): architect/critic verification — always runs regardless of Step 7a result
4. **Agent teams** for complex work (ralph delegates to executor + code-reviewer + test-engineer in parallel as needed)
5. **Fallback** (gstack not installed): ralph's existing verification flow runs unchanged — no behavior difference from ralph's perspective
6. **Phase 2 completion**: ralph signals completion via its standard cancel/completion flow. After ralph completes, gstack-sprint resumes Phase 3.
---
## Phase 3: Review (interactive/iterative — user confirmation)
1. **Find design doc**: Search `~/.gstack/projects/` for the most recent design file matching the current repo.
```bash
REPO=$(basename "$(git rev-parse --show-toplevel 2>/dev/null)")
ORG=$(git remote get-url origin 2>/dev/null | sed 's|.*[:/]\([^/]*\)/.*|\1|' || echo "unknown")
DESIGN_DOC=$(ls -t ~/.gstack/projects/${ORG}-${REPO}/*-design-*.md 2>/dev/null | head -1)
```
If no design doc is found, fall back to comparing against the original user request and any notes captured during Phase 1.
2. **Read the design doc** in full, then read all files implemented during Phase 2
3. **Compare implementation against design**: For each item in the design doc, determine whether it was implemented, partially implemented, or skipped. Note any implementation that was added beyond the design scope.
4. **Present a comparison table** to the user:
| Design Item | Status | Notes |
|---|---|---|
| Feature A | Implemented | |
| Feature B | Partial | Missing edge case X |
| Feature C | Not implemented | Descoped during Phase 2 |
| Bonus: Feature D | Added (not in design) | Confirm or revert |
5. **AskUserQuestion** with the following options:
- "approve" — implementation matches design intent, proceed to next step
- "needs improvement" — significant gaps exist, re-enter Phase 2 with corrections
- "minor fixes" — minor gaps, specify what to fix before approving
6. **If "needs improvement" or "minor fixes"**: Re-enter Phase 2 with a targeted correction delta. Pass the specific gaps to ralph rather than re-running the full implementation. After correction, return to Phase 3 Step 1.
7. **If "approved"**: Suggest next steps — /ship or manual commit. Do not proceed autonomously.
8. **Optional follow-up chain** (present as options, do not auto-invoke):
- /land-and-deploy → /canary → /document-release → /retro
9. **Fallback** (gstack not installed): Read the implemented files directly, compare against the original user request and Phase 1 notes, and present the comparison to the user for their review.
</Steps>
<Escalation_And_Stop_Conditions>
- Stop and report when a fundamental blocker requires user input (missing credentials, unclear requirements, external service down)
- Stop when the user says "stop", "cancel", or "abort"
- Never auto-advance phase boundaries — each phase requires explicit user confirmation
- If Phase 1 design decisions cannot be resolved after three rounds of AskUserQuestion, escalate to the user with a clear statement of what is blocking progress
- If Phase 2 (ralph) fails after the maximum retry attempts, surface the blocker to the user rather than silently retrying or declaring completion
- If Phase 3 comparison reveals that more than 50% of design items are unimplemented, flag this as a significant implementation gap before asking for user decision
</Escalation_And_Stop_Conditions>
<Examples>
<Good>
Phase 1 — surfacing decisions before implementation:
```
AskUserQuestion: "Two decisions are needed while reviewing the design:
1. API auth: Should we use JWT tokens or session cookies?
2. Data storage: Should we add a Redis cache for real-time lookups, or start with direct DB queries?
Once you've decided, say 'design complete' and we'll start implementation."
```
Why good: Decisions are explicit, user controls phase transition, implementation cannot start without confirmation.
</Good>
<Good>
Phase 3 — comparison table against design doc:
```
Design doc: ~/.gstack/projects/sehoon787-my-claude/sehunkim-main-design-20260326-142559.md
| Design Item | Status | Notes |
|---|---|---|
| User auth via JWT | Implemented | |
| Refresh token rotation | Implemented | |
| Rate limiting (100 req/min) | Partial | Middleware added, limit not configurable |
| Audit log for auth events | Not implemented | Descoped during execution |
| OpenAPI schema update | Implemented | |
3 items fully implemented, 1 partially implemented, 1 not implemented.
How would you like to proceed? (approve / needs improvement / minor fixes)
```
Why good: Reads the actual design doc, presents concrete status per item, asks before proceeding.
</Good>
<Bad>
Skipping Phase 1 and jumping straight to implementation:
```
"Understood, I'll start implementing right away."
[immediately starts writing code without design confirmation]
```
Why bad: Phase 1 exists to align on design before implementation. Skipping it risks building the wrong thing.
</Bad>
<Bad>
Claiming Phase 3 complete without reading the design doc:
```
"Implementation is complete. All features are working well."
```
Why bad: Did not read the design doc, did not produce a comparison table, did not ask the user for confirmation. This is completion theater.
</Bad>
</Examples>
<Final_Checklist>
- [ ] Phase 1: Design doc produced and user confirmed "design complete" (or Phase 1 explicitly skipped per user request)
- [ ] Phase 2: ralph invoked and completed with its own verification (7a + 7b)
- [ ] Phase 3: Design doc located (or fallback to original request)
- [ ] Phase 3: Comparison table presented to user
- [ ] Phase 3: User selected "approve", "needs improvement", or "minor fixes"
- [ ] If "needs improvement": correction delta passed to ralph, Phase 3 re-run after correction
- [ ] If "approve": next steps suggested (/ship or manual commit), no autonomous action taken
</Final_Checklist>Related Skills
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gstack-sprint
3-Phase Sprint workflow — design → execute → review with user interaction at decision points
trello-api-sprint-goals
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