Agent skill

Implementation Spec

by gustavscirulis in gustavscirulis/snapgrid

Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan.

Custom licenceAuto-check passedProduct & Project Management

Install Implementation Spec

skills CLI
$ npx skills add gustavscirulis/snapgrid --skill implementation-spec -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gustavscirulis/snapgrid implementation-spec --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gustavscirulis/snapgrid.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/skills/product/implementation-spec .claude/skills/implementation-spec && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementation-spec
GitHub stars
117
Used in
1 other repo
Token cost
~8.8k tokens
SKILL.md length
1,041 words
Files
1
Skills in repo
118
Repo updated
First seen
Licence
Custom licence

At a glance

Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan.

  • Works in 10 steps: Check for Market Research (Optional… → Introduction → Phase 1 - Generate PRD → …
  • Generating complete specification package
  • SKILL.md covers Metadata, Activation, Description and Prerequisites, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Implementation Spec is an agent skill from gustavscirulis/snapgrid. Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan. Use when generating complete specification package.

Its SKILL.md is about 8.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: SnapGrid is an open-source Mac app for collecting, organizing, and analyzing UI screenshots. It uses AI to automatically detect UI components and patterns, making it a powerful…

When your agent uses it

  • Generating complete specification package
  • Tasks that involve PRD writing

Example prompts

  • “/implementation-spec”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Glob, Grep, AskUserQuestion

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Check for Market Research (Optional Phase 0)
  2. Introduction
  3. Phase 1 - Generate PRD
  4. Phase 2 - Generate Technical Architecture
  5. Phase 3 - Generate UI/UX Specifications
  6. Phase 4 - Generate Implementation Guide
  7. Phase 5 - Generate Test Specification
  8. Phase 6 - Generate Release Documentation
  9. Generate Final Summary
  10. Mark Task Complete

What it can do on your machine

Read from SKILL.md and the folder at commit eb7eaf4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Glob
    • Grep
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementation Spec loads about 8.8k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 1,041 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~8.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,041 words (~8,812 tokens).

“Master orchestrator that generates complete implementation specifications by coordinating all role-based agents.”

— opening of SKILL.md by gustavscirulis, Custom licence
name
implementation-spec
allowed-tools
Read, Write, Glob, Grep, AskUserQuestion

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/skills/product/implementation-spec of gustavscirulis/snapgrid.

Open the folder on GitHubat commit eb7eaf4

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gustavscirulis/snapgrid, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Implementation Spec next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implementation Spec compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementation Spec this skillgustavscirulis/snapgrid1171 repos~8.8kAutomated safety check: PassCustom licence
Prd V02 Competitive Landscape Mappingmattgierhart/PRD-driven-context-engineering180—~2.3kAutomated safety check: PassMIT
Pre Mortemphuryn/pm-skills27k—~1kAutomated safety check: PassMIT
Prd V09 Feedback Loop Setupmattgierhart/PRD-driven-context-engineering180—~3.9kAutomated safety check: PassMIT
Prd V09 Launch Metricsmattgierhart/PRD-driven-context-engineering180—~4.7kAutomated safety check: PassMIT
Prd V09 Hn Reddit Launchmattgierhart/PRD-driven-context-engineering180—~2.8kAutomated safety check: PassMIT

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  • Market Research

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Questions about Implementation Spec

What does Implementation Spec do?

Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan. Implementation Spec is an agent skill from gustavscirulis/snapgrid. Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan.

When should I use Implementation Spec?

Implementation Spec fits situations like: generating complete specification package; tasks that involve PRD writing.

How do I install Implementation Spec in Claude Code?

Run `npx skills add gustavscirulis/snapgrid --skill implementation-spec -a claude-code`. Or copy the skill folder (.claude/skills/skills/product/implementation-spec in gustavscirulis/snapgrid) into .claude/skills/implementation-spec in your project. Claude Code loads it when a task matches its description.

How do I install Implementation Spec in Codex?

Run `npx skills add gustavscirulis/snapgrid --skill implementation-spec -a codex`. Or copy the skill folder (.claude/skills/skills/product/implementation-spec in gustavscirulis/snapgrid) into .agents/skills/implementation-spec in your project. Codex loads it when a task matches its description.

Can I use Implementation Spec in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gustavscirulis/snapgrid --skill implementation-spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementation-spec, .gemini/skills/implementation-spec, .github/skills/implementation-spec and .opencode/skills/implementation-spec in your project.

What does Implementation Spec need to run?

SKILL.md names no scripts, command-line tools or credentials: Implementation Spec is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep, AskUserQuestion.

Does Implementation Spec access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Implementation Spec safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Implementation Spec use?

Implementation Spec has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Implementation Spec use?

About 8.8k tokens (SKILL.md is roughly 35k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Implementation Spec?

Skills that share tags, products or a category with Implementation Spec: Prd V02 Competitive Landscape Mapping (mattgierhart/PRD-driven-context-engineering, 180 stars), Pre Mortem (phuryn/pm-skills, 27k stars), Prd V09 Feedback Loop Setup (mattgierhart/PRD-driven-context-engineering, 180 stars) and Prd V09 Launch Metrics (mattgierhart/PRD-driven-context-engineering, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementation Spec?

gustavscirulis (a GitHub user) maintains it in gustavscirulis/snapgrid, which has 117 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on April 30, 2026.

Source: gustavscirulis/snapgrid on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.