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🧩 Spec2Code
Turn messy PRDs, Notion docs, and user stories into a structured implementation plan: tasks with dependencies, complexity estimates, file paths, and acceptance criteria, plus GitHub-ready issues you can post with one command. Flags the unresolved questions to settle with stakeholders before code starts.
$19
· or 95 creditsSecure checkout via Stripe
About this skill
What it does
Spec2Code is a high-precision engineering architect for your AI agent. It transforms messy Notion docs, PRDs, feature specs, and user stories into structured implementation plans. It goes beyond simple summarization by extracting functional requirements, identifying technical dependencies, and mapping out a logical execution sequence that accounts for foundational architecture like auth and data migrations.
Why use this skill
Prompting an AI to 'break this down' often results in shallow checklists. Spec2Code uses a rigorous dependency framework to ensure your agent doesn't try to build UI before the API contract exists. It proactively identifies 'ambiguity flags'—like 'make it fast' or 'ensure it scales'—and forces clarity on metrics before a single line of code is written.
Supported inputs & outputs
- Inputs: Notion markdown exports, pasted PRDs, bug reports, and user stories.
- Architecture: Generates task IDs, complexity estimates (S/M/L), and targeted file paths.
- Integration: Produces readiness-checked GitHub Issue drafts and can automate issue creation via CLI.
The Output
You receive a professional implementation table including dependencies and acceptance criteria, followed by a suggested sequence of work and a list of unresolved technical questions to clear with stakeholders.
Details
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Security Scanned
Passed automated security review
Permissions
File Scopes
Spec2Code needs read access to analyze pasted specification text or exported Notion markdown files. It parses requirements and generates task breakdowns, dependencies, and estimates. Terminal access is optional and only used when the user explicitly confirms "create GitHub issues." In that case, it runs `gh issue create --title "Task" --body "Details"` to create issues from the generated tasks. No destructive git or repo operations occur. Write access is optional and only used when the user asks to save the task plan to a markdown file (e.g., `docs/implementation-plan.md`). All writes are previewed to the user before execution. No browser, network, or environment variable access is required. The skill works completely offline with pasted text.
Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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