implement

An implementation workflow for turning a specification or tickets into tested code in small, complete slices. TDD, or test-driven development, means writing a failing test before the code that makes it pass, then improving the result.

In plain words
What is it for?
Use it for features, multi-file changes, scaffolding, and smaller code edits. It helps plan vertical slices, write tests, run type checks, verify framework patterns, and review the result before committing.
Why use it?
It keeps each change verifiable across the relevant layers instead of leaving partially connected work. Regular checks and a final review reduce the chance of shipping code that only works in isolation.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/int2t05/engineering-skills/implement
Any agent
npx skills add int2t05/engineering-skills --skill implement
Clone the repo
git clone --depth 1 https://github.com/int2t05/engineering-skills

Made for: Claude Code, Codex.

Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,170 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00126 $0.01170
Opus 5 $0.00063 $0.00585
Sonnet 5 $0.00025 $0.00234
Haiku 4.5 $0.00013 $0.00117

Measured 2d ago against content hash dcaf5464ee68, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/04-develop/implement/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement

Execute the work described by a spec or tickets in thin vertical slices. Each slice cuts a complete path through every layer (schema, API, UI, tests) and lands green. Drive TDD within each slice; verify framework-specific patterns against official docs; subject non-trivial decisions to a fresh-context doubt cycle before they stand.

When to use

  • Implementing work described by a spec, plan, or set of tickets.
  • Multi-file changes that should land one vertical slice at a time.
  • Framework-specific code where current docs determine correct patterns.
  • High-stakes or unfamiliar code where correctness matters more than speed.
  • Lightweight changes that don't need a spec — small config edits, mechanical renames/moves, project scaffolding (see references/lightweight-changes.md).

Not for: changes needing design decisions (use spec); system architecture (use architecture); pure test-driven exploration or bugfix-via-test with no spec — red-green-refactor as the whole task (use tdd). Have a spec and want slice-by-slice implementation? That stays here, with TDD driven within each slice.

Steps

  1. Read the spec or tickets. Orient on what "done" means. Note any pre-agreed TDD seams — integration points where tests must exist before code lands. If versions are missing or ambiguous, ask; the version determines which patterns are correct.

  2. Slice the work vertically. One demoable end-to-end path per slice, sized to a single fresh context. Keep it compilable between slices. Wide refactors (one mechanical change fanning across the codebase) are the exception — sequence them as expand–contract, never force them into a tracer bullet.

  3. For each slice, implement via TDD at the seams:

    • Write the failing test first (red), then the code (green), then refactor.
    • For framework-specific code: detect the stack and exact versions from the dependency file; fetch the relevant official docs page (not the homepage); follow the documented pattern and cite the source URL in a code comment. Flag anything you cannot verify as UNVERIFIED. When docs conflict with existing code, surface the conflict — don't silently pick one. See references/source-verification.md.
    • Run the typecheck and the affected test file(s) after each slice. Don't repeat a command on unchanged code — it adds no information.

Read the full file on GitHub · 86 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 86 lines · 126 tokens per session scan A dcaf5464ee68

Subscribe to this mod's changes

implement is a skill published in the GitHub repository int2t05/engineering-skills (3 stars, last pushed 14d ago), licensed MIT. It adds 126 tokens to every session and 1,170 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.