sprint-workflow
Use when starting a new feature, refactor, or multi-step dev task — runs the full sprint cycle (Think → Plan → Build → Review → Test → Ship → Monitor) using Copilot CLI's plan/autopilot modes.
Best use case
sprint-workflow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when starting a new feature, refactor, or multi-step dev task — runs the full sprint cycle (Think → Plan → Build → Review → Test → Ship → Monitor) using Copilot CLI's plan/autopilot modes.
Teams using sprint-workflow 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/sprint-workflow/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How sprint-workflow Compares
| Feature / Agent | sprint-workflow | 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?
Use when starting a new feature, refactor, or multi-step dev task — runs the full sprint cycle (Think → Plan → Build → Review → Test → Ship → Monitor) using Copilot CLI's plan/autopilot modes.
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.
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SKILL.md Source
# Sprint Workflow A structured end-to-end development sprint using Copilot CLI's full capability stack. Inspired by Garry Tan's gstack approach — each step feeds the next, nothing falls through. **Think → Plan → Build → Review → Test → Ship → Monitor** ## When to Use - Starting a new feature or significant refactor - Any task that spans multiple files or requires sequencing - When you want structured, reviewable output rather than ad-hoc changes - Team environments where pull requests are the delivery mechanism ## Prerequisites - Copilot CLI authenticated (`gh auth status`) - For the **Review step**: standard mode (no extra setup) - For the **sprint-retro** skill after this sprint: enable experimental features first: ```text /experimental on ``` > ⚠️ `/chronicle` (used in `sprint-retro`) requires `/experimental on` to be run in the **same session**. ## The Sprint ### Step 1: Think — Frame the Problem Before writing a line, challenge the premise: ```text > I want to build [X]. What am I actually trying to solve? ``` Push back on your own framing. Identify: - The real user pain (not the feature request) - Assumptions that could be wrong - The simplest possible version that delivers value ### Step 2: Plan — Structured Implementation Plan Switch to **Plan Mode** (`Shift+Tab`) and describe the task: ```text [Plan Mode] > Implement paginated results for the /api/users endpoint ``` Copilot will ask clarifying questions, then produce a structured plan. Review it carefully. Approve with `exit_plan_mode` when ready. For complex tasks, prompt for explicit sections: ```text [Plan Mode] > Design the pagination feature. Include: > 1. Data flow and API contract > 2. Edge cases and error handling > 3. Test plan (unit + integration) > 4. Files to change and why ``` ### Step 3: Build — Autopilot Execution After plan approval, switch to **Autopilot Mode** (`Shift+Tab`) and let Copilot execute: ```text [Autopilot Mode] > Implement the plan ``` Copilot works autonomously. You can monitor progress or continue other work. For parallelizable tasks (multiple independent files), use: ```text /fleet Implement the pagination plan across all affected service files ``` ### Step 4: Review — Catch Issues Before They Ship Run the `/review` command to trigger a systematic code review: ```text /review ``` Copilot's code-review agent surfaces only genuine issues — bugs, security holes, logic errors. Address blockers before testing. If you are translating this workflow back into a Claude Code or hybrid setup, Claude Code v2.1.108+ can discover and invoke built-in review commands through its `Skill` tool instead of relying on a human to type them manually. In Copilot CLI, keep the same intent explicit by invoking `/review` directly or dispatching the equivalent review agent as a planned handoff. You can also check the diff: ```text /diff ``` ### Step 5: Test — Verify the Implementation Run the test suite and verify new tests were added: ```text > Run the test suite and confirm all tests pass including the new pagination tests ``` For comprehensive E2E verification: ```text > Run the full test suite. If any tests fail, analyze and fix them before continuing. ``` ### Step 6: Ship — Delegate to Cloud or Create PR **Option A: Delegate the PR creation to the cloud agent:** ```text & "Create a PR for the pagination feature with a clear description and review checklist" ``` **Option B: Create a PR locally:** ```text > Create a pull request for the pagination feature. Include: > - Summary of changes > - Testing approach > - Screenshots or examples if applicable ``` ### Step 7: Monitor — Validate the Release in a Safe Blast Radius Shipping code is not the end of the sprint. For runtime systems, add an observation gate: ```text > Start a post-ship canary for this release. > Define the watch window, health signals, rollback triggers, and promotion criteria. ``` Use [`deployment-canary`](../deployment-canary/SKILL.md) when the release touches production traffic, feature flags, or customer-facing flows. If the release is package-only, replace the canary with a smoke verification step. ## Full Example ```text # Step 1: Think > We have slow API responses. I want to add caching. > [Challenge: is caching the right fix, or is the query slow?] # Step 2: Plan [Plan Mode] > Investigate the slow /api/products query, then implement the right fix. > Include a performance benchmark before and after. # Step 3: Build [Autopilot Mode] > Execute the plan. # Step 4: Review /review # Step 5: Test > Run the benchmark and confirm the performance improvement. # Step 6: Ship & "Create a PR: Fix slow product queries — add DB index + query optimization" # Step 7: Monitor > Run a canary for the release candidate. Hold or roll back if p95 latency or error rate regress. ``` ## Output Format Each step produces verifiable output: | Step | Output | How to Verify | |------|--------|---------------| | Think | Written problem statement | Challenge at least one assumption | | Plan | `plan.md` with numbered tasks + file list | Confirm scope before approving | | Build | File changes | `/diff` — confirm only planned files changed | | Review | `[PASS]`/`[CONCERN]`/`[BLOCK]` per category | Address all BLOCKs before continuing | | Test | Test run output (pass count, coverage delta) | Zero regressions; new tests for new behaviour | | Ship | PR URL + description | PR description references the plan | | Monitor | Canary or smoke verification result | Explicitly record PROMOTE / HOLD / ROLLBACK | ### `/review` Output Interpretation ```text ✅ PASS — No issues in this category ⚠️ CONCERN — Advisory; fix if feasible, document if not 🚫 BLOCK — Must fix before merging Categories: Logic, Security, Tests, Performance, API Contracts ``` ### `/diff` Output Interpretation ```text # Confirm scope is correct: # - Only files in the plan should appear # - No unintended deletions # - No debug code or temporary files ``` ## Common Rationalizations | Rationalization | Reality | |----------------|---------| | "Skip planning, start coding now" | Sprints without a plan lose direction mid-way. An hour in Plan Mode saves three hours of rework. | | "Reviews can wait until next sprint" | Features merged without review accumulate technical debt. Review must be part of the definition of done. | | "Tests after the feature stabilizes" | Stabilization never comes. Once shipped, there's no time to add tests. | | "Deadline approaching, lower the quality bar" | Low-quality 'done' features return as bugs in the next sprint. | ## Red Flags - Sprint started without a definition of done - Features merged within the sprint without tests - Production-impacting releases shipped with no observation window - Next sprint started immediately without a retrospective - Sprint goal is missing or has too many objectives (5+) - PRs merged directly to main without review ## Verification - [ ] Sprint goal defined in 1–3 clear sentences - [ ] Every task has explicit acceptance criteria - [ ] All PRs merged by sprint end passed code review - [ ] Runtime releases included a canary or smoke-monitoring step - [ ] `sprint-retro` skill used for a data-driven retrospective - [ ] Next sprint backlog prepared ## Tips - **Plan Mode is not optional** for features > 1 file. It prevents costly mid-build corrections. - **Autopilot with full permissions** (`--yolo`) speeds up execution but review the plan carefully first. - **`/review` before every PR** — the signal-to-noise is high, it surfaces real issues. - **Use `/diff` to sanity-check** scope before shipping — did Copilot change more than planned? - **Do not skip the watch window**: if the change reaches users, the sprint includes monitoring, not only PR creation. - **Reference the plan in the PR description** — use `/session plan` to surface it. ## See Also - [`fix-github-issue`](../../development/fix-github-issue/SKILL.md) — Issue-driven variant of this sprint workflow - [`commit-workflow`](../commit-workflow/SKILL.md) — Conventional commit + emoji for the Ship step - [`pr-multi-perspective-review`](../../development/pr-multi-perspective-review/SKILL.md) — Deeper 6-lens review for the Review step - [`deployment-canary`](../deployment-canary/SKILL.md) — post-ship rollout monitoring and rollback gates - [`sprint-retro`](../sprint-retro/SKILL.md) — Retrospective after the sprint completes
Related Skills
sprint-retro
Use at the end of a sprint to run a data-driven retrospective — analyzes session history and git metrics to surface what shipped, what slowed you down, and concrete improvements.
tdd-workflow
Use when starting a new feature or function to write failing tests first, then implement the minimal code to pass (Red→Green→Refactor)
github-pr-workflow
Use when creating, updating, or managing pull requests — automates the full PR lifecycle (open, review requests, labels, merge) via GitHub MCP
verification-before-completion
Use before claiming any task is done — run the exact command that proves the fix works, read the output, and only then report success.
using-git-worktrees
Use when you need multiple branches checked out at once — create isolated working directories for parallel development without cloning the repository repeatedly
triage
Use when a single issue needs structured triage — classify it, reproduce if needed, request missing information, and leave a durable brief or close-out note in the tracker.
to-issues
Use when a plan, spec, or PRD must become an actionable backlog — break it into thin dependency-aware issues that each deliver a verifiable vertical slice
security-audit
Use when a codebase needs a formal security audit beyond a quick scan — applies OWASP Top 10 and STRIDE threat modeling from a CSO perspective to surface systemic vulnerabilities.
release
Use when a sprint or feature is complete and ready to ship — tags the version, generates GitHub Release notes, runs rollout or smoke verification, and publishes to npm/PyPI/Docker registries.
prompt-optimizer
Use when a rough prompt, vague idea, or task description needs to become a finished copy-pasteable prompt for a chat-based LLM - rewrite it into one ready-to-send prompt with no blanks, no placeholders, and a clear output shape.
outside-voice
Use when you need an independent second opinion before, during, or after implementation — run challenge, consult, or review mode in a direct builder-to-builder voice
llm-wiki
Use when research or domain knowledge keeps getting rediscovered across sessions — build a supplementary markdown wiki that compounds synthesized knowledge without replacing GitHub or committed project guidance