implementation-approach
Skill39 starsChanged 9 days agoMITView on GitHub
Selects the smallest sufficient implementation strategy and verification boundary from current requirements and repository evidence.
3 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- shinpr/ai-coding-project-boilerplatetheir own version, first seen Nov 8, 2026
- shinpr/agentic-codeedited, first seen Nov 3, 2026
- shinpr/claude-code-workflowstheir own version, first seen Mar 23, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- shinpr/agentic-code★ 5160% same
Wrote their own version · 2
- shinpr/claude-code-workflows★ 712same name
- shinpr/ai-coding-project-boilerplate★ 236same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository30 other files it gives its agents.
- ai-development-guideSkill
- coding-rulesSkill
- documentation-criteriaSkill
- external-resource-contextSkill
- integration-e2e-testingSkill
- llm-friendly-contextSkill
- recipe-add-integration-testsSkill
- recipe-buildSkill
- recipe-designSkill
- recipe-diagnoseSkill
- recipe-front-adjustSkill
- recipe-front-buildSkill
- recipe-front-designSkill
- recipe-front-planSkill
- recipe-front-reviewSkill
- recipe-fullstack-buildSkill
- recipe-fullstack-implementSkill
- recipe-implementSkill
- recipe-outcome-watchSkill
- recipe-planSkill
- recipe-prepare-implementationSkill
- recipe-quality-profileSkill
- recipe-reverse-engineerSkill
- recipe-reviewSkill
- recipe-update-docSkill
- requirement-convergenceSkill
- reviewee-judgmentSkill
- subagent-delegationSkill
- subagents-orchestration-guideSkill
- testingSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use this sequence when a design or task needs an implementation approach:
- Distinctive: line 30
Create phases from verified dependency order rather than architecture layers.
- Distinctive: line 40
Prefer evidence in this order when applicable: observable operation, test, then build/static evidence.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Implementation Approach
Strategy Selection
Use this sequence when a design or task needs an implementation approach:
- Current evidence — inspect the relevant responsibility, data/control path, representative repository pattern, and constraints that can change the choice.
- Direct MVP — identify the simplest complete path to the user's required result, including no change or removing unnecessary behavior when sufficient. A previously passed design is a revisable starting point.
- Necessity before detail — establish a concrete required result that this path cannot deliver before designing an extra mechanism. Discovery of a concern or a potential consumer supplies a candidate, not new requirements.
- Selection — consider subtraction and existing behavior first. Adopt an addition only when those cannot satisfy the requirement and its supported benefit justifies total UX, runtime, implementation, testing, documentation, and maintenance cost. Evidence alone does not select it.
- Detail and stop — define contracts, states, error handling, and proof only for the selected mechanisms. Stop when the required result and sufficient verification are executable; further technically valid possibilities remain unadopted.
Possible future reuse, generic best practice, speculative edge cases, and optional hardening are not failed items. A path or file count is supporting evidence, not a scale or strategy rule.
Keep this analysis in the active execution context. In an existing design rationale or handoff, retain only the decision-changing reason a material addition is needed over the direct path. Evaluate its layers, states, outputs, and tests together as one mechanism. Ordinary local choices need no separate record or alternative inventory.
Slicing Choice
Choose the smallest slicing structure that preserves dependency order and yields observable progress:
- Vertical — one user- or consumer-visible outcome can be completed across its layers without first creating a shared foundation.
- Foundation-first — multiple required outcomes depend on the same contract or mechanism that must exist before any can work.
- Hybrid — one verified shared dependency comes first, followed by outcome-oriented slices.
Create phases from verified dependency order rather than architecture layers. Keep independently executable work separate when combining it would obscure ownership or verification.
Verification Level
Select the narrowest level that exercises the boundary named by the requirement:
- L1: Local — a unit, pure transformation, local command, build, or artifact check.
- L2: Integration — interaction across components, persistence, processes, or another named integration boundary.
- L3: End-to-end — the complete user, browser, process, or service journey required by the acceptance criterion.
Prefer evidence in this order when applicable: observable operation, test, then build/static evidence.
Completion Check
- The approach delivers the outcome through existing patterns where sufficient.
- Every added mechanism resolves a current failed item.
- Task order follows verified dependencies rather than hypothetical rollout needs.
- Verification exercises the required observable boundary without adding an unnecessary wider lane.
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