implementation-sketch

implementation-sketch is a skill for Claude Code, Codex from gyanranjan/polyagent-skills. It costs 67 tokens per session (1,720 once invoked), scanned A, original, MIT.

A guide for turning software requirements into an implementation plan or architecture sketch. It organizes technical decisions, components, tasks, risks, and constraints before coding begins.

In plain words
What is it for?
It is for designing systems, choosing technical approaches, breaking features into tasks, and identifying risks, dependencies, and verification needs.
Why use it?
It helps a development team move from a feature idea to a buildable plan without starting with an incomplete or unclear design.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for designing systems, choosing technical approaches, breaking features into tasks, and identifying risks, dependencies, and verification needs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gyanranjan/polyagent-skills/implementation-sketch
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.

Any agent
npx skills add gyanranjan/polyagent-skills --skill implementation-sketch
Clone the repo
git clone --depth 1 https://github.com/gyanranjan/polyagent-skills

Made for: Claude Code, Codex.

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 implementation-sketch

README.md
[![agentmods](https://agentmods.dev/badge/skills/gyanranjan/polyagent-skills/implementation-sketch.svg)](https://agentmods.dev/skills/gyanranjan/polyagent-skills/implementation-sketch)
Your own site
<a href="https://agentmods.dev/skills/gyanranjan/polyagent-skills/implementation-sketch"><img src="https://agentmods.dev/badge/skills/gyanranjan/polyagent-skills/implementation-sketch.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,720 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 $0.00067 $0.01720
Opus 5 $0.00034 $0.00860
Sonnet 5 $0.00013 $0.00344
Haiku 4.5 $0.00007 $0.00172

Measured 8d ago against content hash 126ed571577b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

implementation-sketch 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 8d 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/implementation-sketch/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementation Sketch

Purpose

Transform requirements or feature descriptions into actionable implementation plans with technical decisions, component breakdowns, task lists, and risk identification. The output should be sufficient for a development team to start building.

When to Use

  • User has requirements and wants a technical plan
  • User asks "how would we build this?"
  • User wants to break a feature into development tasks
  • User asks for a system design or architecture sketch
  • User wants to evaluate technical approaches for a problem

When NOT to Use

  • User needs requirements first (use requirement-study)
  • User wants actual code written (that's coding, not sketching)
  • User wants a presentation of the plan (use deck-creator after this)

Inputs

Required:

  • Requirements or feature description — what needs to be built

Optional:

  • Tech stack constraints — languages, frameworks, infrastructure
  • Team context — team size, skill sets, timeline
  • Existing architecture — current system to extend
  • Non-functional requirements — performance, scale, security targets

Process

Step 1: Preflight Tooling Check

Run a non-blocking Mermaid check before generating architecture diagrams:

if command -v mmdc >/dev/null 2>&1; then
  mmdc --version
else
  echo "mmdc not installed; continue with text diagram descriptions and add TODO entry"
fi

If mmdc is missing, update agent.todo.md with a tooling task.

Interaction Protocol (Mandatory)

For all substantive responses while running this skill:

  • Include Stage: Gx <name> and Next: <immediate next step>
  • At each gate transition, ask 2-4 decision-oriented questions before advancing
  • Challenge weak assumptions and provide better alternatives where tradeoffs are clear

Step 2: Understand What's Being Built

Read the requirements/description thoroughly. Identify:

  • Core functionality (what MUST work)
  • Integration points (what connects to what)
  • Data flows (what data moves where)
  • User interactions (who does what)

Read the full file on GitHub · 214 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. 8d ago First seen · 214 lines · 67 tokens per session scan A 126ed571577b

Subscribe to this mod's changes

implementation-sketch is a skill published in the GitHub repository gyanranjan/polyagent-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 1,720 once invoked, about $0.0003 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.

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