ln-21-system-design-ba…
Defines measurable architecture drivers and constraints before system design; edits architecture docs only.
Implements one scoped feature or fix through the smallest complete solution; not upgrades or performance tuning.
$ npx -y skills add levnikolaevich/claude-code-skills --skill ln-41-surgical-change-implementer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ln-41-surgical-change-implementerContext preview
The summary Claude sees to decide when to auto-load this skill.
Implements one scoped feature or fix through the smallest complete solution; not upgrades or performance tuning.
name: ln-41-surgical-change-implementer description: "Implements one scoped feature or fix through the smallest complete solution; not upgrades or performance tuning."
**Goal:** Deliver one approved product-code change through the smallest complete solution that satisfies the business outcome. Remove superseded code and avoid speculative abstraction, duplicate mechanisms, and custom infrastructure already provided by the repository or platform.
**Execution contract:** The checklist defines completion. Track each item internally as `PENDING`, `PROVEN` with evidence, `CLEARED` with evidence its condition is absent, or `UNPROVEN` with a gap; reading, delegation, or tool failure is not proof. Reconcile after each section. Before returning, resolve all `PENDING`, count only `PROVEN` and `CLEARED`, and apply verdict and approval rules to every gap. Preserve intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. Scale depth to material risk without skipping checks. Preserve dependency and safety order; otherwise choose an appropriate verification method. Accept equivalent user or repository evidence; no other skill, named artifact, or complete lifecycle is required. Preserve source requirement and decision IDs. Bind reused evidence to relevant source versions, dirty changes, configuration, and environment; invalidate only affected claims. On continuation, reconcile task, authorization, current state, and unresolved evidence. For long work, return a compact continuation record or update an already authorized artifact; read-only skills do not persist it. Distinguish artifact readiness, verified behavior, and external-action authority. Prepare authorized work before required approval. If blocked by an instruction, cite its exact source and unresolved boundary; do not invent approval gates from caution.
| Need | Preferred capability | Fallback | |---|---|---| | Scope and repository policy | User request, linked task or plan, repository instructions, Git status, and focused diff | State bounded assumptions; stop if a choice would materially change product intent | | Runtime ownership and impact | Language server, host-native code intelligence, traces, schemas, routes, and configuration | Narrow symbol and text search followed by direct reads of definitions and consumers | | Existing capability | Repository code, manifests, lockfiles, platform APIs, and installed dependency source | Current official documentation and primary sources; mark uncertain claims `UNVERIFIED` | | Safe implementation | Focused editor, native formatter, package manager, and generation commands | Minimal manual patch that preserves user changes and generated-file ownership | | Verification | Repository-defined build, lint, type, test, smoke, and runtime checks | Smallest reproducible check that proves the protected contract; disclose coverage gaps | | External semantics | Official documentation, specifications, security advisories, registries, and upstream source | Primary-source technical material; use secondary expert guidance only for tradeoffs |
Do not expand the task into repository-wide cleanup, redesign, dependency work, or performance tuning. Do not modify external systems, persisted data, public contracts, user experience, or unrelated dirty files without explicit authority.
Give your AI agent a clear finish line. You ask for a fix and get a new abstraction. A review lists generic advice. The agent says “done,” but you still have to work out what it checked.
Repo: levnikolaevich/claude-code-skills
Defines measurable architecture drivers and constraints before system design; edits architecture docs only.
Documents current architecture from implementation evidence; does not propose a target or audit fitness.
Designs target system boundaries, contracts and tradeoffs from requirements; does not plan tasks or implement.
Records one architecture decision with alternatives, consequences and status; does not design the whole system.
Creates evidence-backed current or target architecture diagrams; not UI design.
Plans architecture migrations with compatibility, data safety, rollout and recovery; does not execute them.