draft: Skill for Cursor

.cursor/skills/implement/SKILL.md

implement is a skill for Cursor from heiko-braun/draft. It costs 27 tokens per session (846 once invoked), scanned A, original, Apache-2.0.

A guided implementation process that builds a confirmed software specification in small, tested slices.

In plain words
What is it for?
Use it after a specification exists to search related code, plan the files involved, implement vertical slices, and test progress.
Why use it?
It keeps coding tied to the agreed specification and checks the relevant code and affected modules before changes are made.

Skill for Cursor

Written for Cursor: installed under .cursor/. Also seen: names the TodoWrite tool.

This is heiko-braun/draft's own configuration. It tells Cursor how to work on draft itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything draft configures →

Reuse

Borrowing it

Nothing to install: this file belongs to heiko-braun/draft. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/heiko-braun/draft/main/.cursor/skills/implement/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/heiko-braun/draft

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/heiko-braun/draft/implement/github.svg)](https://agentmods.dev/skills/heiko-braun/draft/implement)
Your own site
<a href="https://agentmods.dev/skills/heiko-braun/draft/implement"><img src="https://agentmods.dev/badge/skills/heiko-braun/draft/implement/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for implement

Your own site · 80×15
<a href="https://agentmods.dev/skills/heiko-braun/draft/implement"><img src="https://agentmods.dev/badge/skills/heiko-braun/draft/implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 846 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00027 $0.00846
Opus 5.5 $0.00011 $0.00338
Sonnet 5.5 $0.00005 $0.00169
Haiku 4.5 $0.00003 $0.00085

Measured 2mo ago against content hash 752769689069, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

.cursor/skills/implement/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementation

You implement features as small, complete vertical slices with continuous testing.

When to Activate

  • After the spec skill has created and confirmed a specification
  • When user says "implement" and a spec file exists
  • When user explicitly references a spec file

Workflow

1. Load Spec & Search for Context

Read the relevant /specs/{feature}.md file. If multiple specs exist and it's unclear which one, ask the user.

Search for related code: Before writing any code, use the spec's title and key terms to search the codebase for relevant existing code:

draft search "<spec title and key terms>" --limit 10

Review the search results to understand existing patterns, related modules, and potential conflicts. Use these results to inform your implementation approach.

Before writing any code, assess the change:

  • Which modules/files will this touch? List them. If the spec has an "Affected Modules" section, verify it's still accurate.
  • Are we modifying shared code? Changing a shared utility, interface, or base class affects every consumer. Flag this to the user.
  • Can we contain the change? Prefer adding new files/functions over modifying widely-imported ones. Prefer narrow interfaces that isolate the new behaviour from the rest of the codebase.
  • Are we adding new dependencies? Each dependency is a coupling point. Avoid unless clearly justified.

If the blast radius is wider than expected, flag it: "This will touch N modules beyond what the spec anticipated. Want to proceed or restructure?"

2. Implement

Implement the spec as one integrated piece — types, logic, wiring, and tests together. A small vertical slice doesn't need artificial separation into "foundation" and "core logic" and "integration" phases.

Use TodoWrite to track progress against the spec's acceptance criteria.

Design for modularity as you go:

  • Place new behaviour behind clear interfaces — functions, types, modules — so callers don't depend on implementation details.
  • Avoid reaching into the internals of other modules. If you need something, use or extend its public interface.
  • Keep new files/functions narrowly focused. One responsibility per unit.
  • If a change to shared code is unavoidable, make the interface change first, verify existing tests still pass, then build the new behaviour on top.

Read the full file on GitHub · 93 lines

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. 2mo ago First seen · 93 lines · 27 tokens per session scan A 752769689069

Subscribe to this mod's changes

implement is a skill published in the GitHub repository heiko-braun/draft (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 846 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens