Install
$ agentstack add skill-celestialdust-achilles-skills-incremental-implementation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Incremental Implementation
Purpose
Stage: Implement (agent — per slice, inside a worktree). THE implementer workhorse. It applies test-driven-development as its rigid core loop and source-driven-development as a referenced discipline; the worktree isolation mechanism is owned by the orchestrator — implement runs in the worktree it is handed, it does not make its own.
Build in thin vertical slices — implement one piece, test it, verify it, then expand. Avoid implementing an entire feature in one pass. Each increment should leave the system in a working, testable state. This is the execution discipline that makes large features manageable.
When to use / when to skip
- Implementing any multi-file change
- Building a new feature from a task breakdown
- Refactoring existing code
- Any time you're tempted to write more than ~100 lines before testing
When NOT to use: Single-file, single-function changes where the scope is already minimal.
Inputs
Implement runs per slice, inside the worktree the orchestrator hands it (it does not create its own isolation; that is worktree, owned upstream). It consumes the Plan-stage contract cold and refuses to run if a load-bearing input is missing.
| Input | Source (skill) | Stable sections it reads | Refuse-to-run if absent | |---|---|---|---| | plan.md + slices | plan-breakdown | the assigned slice's row keyed by Slice id — its Story-ref · Files (owned) · Regression surface · Checkpoint · Blocked-by columns — plus the line-level steps and exact tests in the plan body | no plan.md, or no concrete steps for the assigned slice | | assigned slice id | STATE.md (orchestrator) | the PRD-namespaced slice row in state impl, gate agent | no slice assigned, or it is not in impl/agent | | acceptance.md | acceptance-criteria (Spec, signed) | the behavioral Given/When/Then scenario ids (e.g. PWR-A2) this slice realizes — the frozen oracle test-driven-development turns RED | the slice references an acceptance id that does not exist | | clean worktree | worktree (orchestrator) | a provisioned, preflight-green baseline branch for this slice | not running inside the handed worktree |
Disciplines it applies (consulted, not stages it consumes): test-driven-development (RED-GREEN-REFACTOR; test-first order is hook-enforced), source-driven-development (ground any framework/library decision in fetched official docs, as needed), debugging-and-error-recovery (five-step triage when a slice's tests break). It does not re-derive the plan, re-open the spec, or re-slice — the plan handed to it is already vertical.
The Increment Cycle
┌──────────────────────────────────────┐
│ │
│ Implement ──→ Test ──→ Verify ──┐ │
│ ▲ │ │
│ └───── Commit ◄─────────────┘ │
│ │ │
│ ▼ │
│ Next slice │
│ │
└──────────────────────────────────────┘
For each slice:
- Implement the smallest complete piece of functionality
- Test — run the test suite (or write a test if none exists)
- Verify — confirm the slice works as expected (tests pass, build succeeds, manual check)
- Commit -- save your progress with a descriptive message (see the git-workflow skill for atomic commit guidance)
- Move to the next slice — carry forward, don't restart
Slicing Strategies
Vertical Slices (Preferred)
Build one complete path through the stack:
Slice 1: Create a task (DB + API + basic UI)
→ Tests pass, user can create a task via the UI
Slice 2: List tasks (query + API + UI)
→ Tests pass, user can see their tasks
Slice 3: Edit a task (update + API + UI)
→ Tests pass, user can modify tasks
Slice 4: Delete a task (delete + API + UI + confirmation)
→ Tests pass, full CRUD complete
Each slice delivers working end-to-end functionality.
Skeleton-First (stub → mock → wire → fill)
Within a vertical slice, build the skeleton end-to-end first, then fill it in — absorbed from cr-structure's build-order. Each step is independently observable:
- Stub — every layer the slice touches returns a hardcoded value; the end-to-end path already runs.
- Mock — swap stubs for mocks at the real boundaries; the shape of the data flows through.
- Wire — replace mocks with the real calls, one boundary at a time.
- Fill — handle the edge cases and error paths.
This is the antidote to horizontal building (all DB, then all API, then all UI), which yields code that does not work end-to-end until the last step and gives you nothing to debug from in between. The plan you were handed is already sliced vertically; skeleton-first is how you build each slice without silently re-horizontalizing it. The Increment Cycle's "Verify" step is the slice's checkpoint — a specific observable fact ("submitting the form shows the inline error"), never "it compiles".
Contract-First Slicing
When backend and frontend need to develop in parallel:
Slice 0: Define the API contract (types, interfaces, OpenAPI spec)
Slice 1a: Implement backend against the contract + API tests
Slice 1b: Implement frontend against mock data matching the contract
Slice 2: Integrate and test end-to-end
Risk-First Slicing
Tackle the riskiest or most uncertain piece first:
Slice 1: Prove the WebSocket connection works (highest risk)
Slice 2: Build real-time task updates on the proven connection
Slice 3: Add offline support and reconnection
If Slice 1 fails, you discover it before investing in Slices 2 and 3.
Implementation Rules
Rule 0: Simplicity First
Before writing any code, ask: "What is the simplest thing that could work?"
After writing code, review it against these checks:
- Can this be done in fewer lines?
- Are these abstractions earning their complexity?
- Would a staff engineer look at this and say "why didn't you just..."?
- Am I building for hypothetical future requirements, or the current task?
SIMPLICITY CHECK:
✗ Generic EventBus with middleware pipeline for one notification
✓ Simple function call
✗ Abstract factory pattern for two similar components
✓ Two straightforward components with shared utilities
✗ Config-driven form builder for three forms
✓ Three form components
Three similar lines of code is better than a premature abstraction. Implement the naive, obviously-correct version first. Optimize only after correctness is proven with tests.
Rule 0.5: Scope Discipline
Touch only what the task requires.
Do NOT:
- "Clean up" code adjacent to your change
- Refactor imports in files you're not modifying
- Remove comments you don't fully understand
- Add features not in the spec because they "seem useful"
- Modernize syntax in files you're only reading
If you notice something worth improving outside your task scope, note it — don't fix it:
NOTICED BUT NOT TOUCHING:
- src/utils/format.ts has an unused import (unrelated to this task)
- The auth middleware could use better error messages (separate task)
→ Want me to create tasks for these?
Rule 1: One Thing at a Time
Each increment changes one logical thing. Don't mix concerns:
Bad: One commit that adds a new component, refactors an existing one, and updates the build config.
Good: Three separate commits — one for each change.
Rule 2: Keep It Compilable
After each increment, the project must build and existing tests must pass. Don't leave the codebase in a broken state between slices.
Rule 3: Feature Flags for Incomplete Features
If a feature isn't ready for users but you need to merge increments:
// Feature flag for work-in-progress
const ENABLE_TASK_SHARING = process.env.FEATURE_TASK_SHARING === 'true';
if (ENABLE_TASK_SHARING) {
// New sharing UI
}
This lets you merge small increments to the main branch without exposing incomplete work.
Rule 4: Safe Defaults
New code should default to safe, conservative behavior:
// Safe: disabled by default, opt-in
export function createTask(data: TaskInput, options?: { notify?: boolean }) {
const shouldNotify = options?.notify ?? false;
// ...
}
Rule 5: Rollback-Friendly
Each increment should be independently revertable:
- Additive changes (new files, new functions) are easy to revert
- Modifications to existing code should be minimal and focused
- Database migrations should have corresponding rollback migrations
- Avoid deleting something in one commit and replacing it in the same commit — separate them
Working with Agents
When directing an agent to implement incrementally:
"Let's implement Task 3 from the plan.
Start with just the database schema change and the API endpoint.
Don't touch the UI yet — we'll do that in the next increment.
After implementing, run `npm test` and `npm run build` to verify
nothing is broken."
Be explicit about what's in scope and what's NOT in scope for each increment.
Increment Checklist
After each increment, verify:
- [ ] The change does one thing and does it completely
- [ ] All existing tests still pass (
npm test) - [ ] The build succeeds (
npm run build) - [ ] Type checking passes (
npx tsc --noEmit) - [ ] Linting passes (
npm run lint) - [ ] The new functionality works as expected
- [ ] The change is committed with a descriptive message
Note: Run each verification command after a change that could affect it. After a successful run, don't repeat the same command unless the code has changed since — re-running on unchanged code adds no information.
Rationalizations
| Rationalization | Reality | |---|---| | "I'll test it all at the end" | Bugs compound. A bug in Slice 1 makes Slices 2-5 wrong. Test each slice. | | "It's faster to do it all at once" | It feels faster until something breaks and you can't find which of 500 changed lines caused it. | | "These changes are too small to commit separately" | Small commits are free. Large commits hide bugs and make rollbacks painful. | | "I'll add the feature flag later" | If the feature isn't complete, it shouldn't be user-visible. Add the flag now. | | "This refactor is small enough to include" | Refactors mixed with features make both harder to review and debug. Separate them. | | "Let me run the build command again just to be sure" | After a successful run, repeating the same command adds nothing unless the code has changed since. Run it again after subsequent edits, not as reassurance. |
Red flags
- More than 100 lines of code written without running tests
- Multiple unrelated changes in a single increment
- "Let me just quickly add this too" scope expansion
- Skipping the test/verify step to move faster
- Build or tests broken between increments
- Large uncommitted changes accumulating
- Building abstractions before the third use case demands it
- Touching files outside the task scope "while I'm here"
- Creating new utility files for one-time operations
- Running the same build/test command twice in a row without any intervening code change
Verification (ending criteria)
After completing all increments for a task:
- [ ] Each increment was individually tested and committed
- [ ] The full test suite passes
- [ ] The build is clean
- [ ] The feature works end-to-end as specified
- [ ] No uncommitted changes remain
See Also
Per-increment verification is the local check. Before declaring a task done, apply the project-wide Definition of Done as the final gate, the standing bar every increment clears regardless of the task. See ../../references/definition-of-done.md.
Outputs & handoff contract
- Emits: a
diffon the slice's worktree branch — the implemented slice as a sequence of atomic,
individually-tested commits (code + the tests that prove it). This is the artifact quality-verification (Verify) consumes cold, alongside the running app and acceptance.md.
- Stable guarantees the consumer depends on:
- The diff stays inside the slice's declared
Regression surface(fromplan.md). Narrowing or
widening that surface to pass is a gate-erosion HALT, not a fix.
- Tests land test-first (the
test-driven-developmentorder hook enforces it) and assert observable behavior, never
mock calls (testing-strategy AP1).
- The worktree is compilable and green at every increment checkpoint — never left broken between slices.
- The slice diff stays within the ≤400 LOC cluster cap; if it cannot, the
slice was mis-sliced — stop and surface, do not stretch the cap.
- Frozen-under-retry (silent-false-green defense — non-negotiable): during this slice's bounded retry
rounds, acceptance.md, the RED tests, and the declared Regression surface are immutable. A retry diff that weakens an assertion, deletes a test, or narrows the surface = HALT (gate-erosion + reward-hack tripwire: the failure signature must not move only because a test/acceptance was edited while impl is materially unchanged). The way to green is to fix the impl (via debugging-and-error-recovery), never to move the goalposts. No --no-verify, no hook edits, no SKIP_HOOKS (security.md / CLAUDE.md).
STATE.mdupdate: on a green slice checkpoint, flip the sliceimpl → verify(gate staysagent)
and hand off to quality-verification. If the slice cannot pass after the bounded rounds (3 implement→verify→review cycles), flip it impl → halted and flip its gate agent → you — the failure-escalation path is the only place a human gate survives the autonomous run.
- Consumer:
quality-verification(Verify). Change the shape of what you emit → updatequality-verificationin the same commit.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: celestialdust
- Source: celestialdust/achilles-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.