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.
- Convert a feature specification into 5+ actionable developer tasks
- Identify and flag ambiguous requirements before they become blockers
- Sequence work based on technical dependencies like migrations and auth
$19
· or 95 creditsSecure checkout via Stripe
Included in download
- Convert a feature specification into 5+ actionable developer tasks
- Identify and flag ambiguous requirements before they become blockers
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
Sample input
Break down this Notion spec for adding OAuth2 Notion integration into a structured plan with task IDs and complexity estimates.
Sample output
Implementation Plan
Goal: Add OAuth2 support for Notion integration. Ambiguity: "Fast login" -> Target < 2s redirect.
| ID | Task | Depends On | Complexity | Likely Files |
| T1 | DB Migration | None | Small | src/db/migrations/ |
| T2 | Auth Provider | T1 | Medium | src/lib/auth.ts |
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
Also available in a bundle
Included in download
- Convert a feature specification into 5+ actionable developer tasks
- Identify and flag ambiguous requirements before they become blockers
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
- Instant install
Sample input
Break down this Notion spec for adding OAuth2 Notion integration into a structured plan with task IDs and complexity estimates.
Sample output
Implementation Plan
Goal: Add OAuth2 support for Notion integration. Ambiguity: "Fast login" -> Target < 2s redirect.
| ID | Task | Depends On | Complexity | Likely Files |
| T1 | DB Migration | None | Small | src/db/migrations/ |
| T2 | Auth Provider | T1 | Medium | src/lib/auth.ts |
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.
Use Cases
- Convert a feature specification into 5+ actionable developer tasks
- Identify and flag ambiguous requirements before they become blockers
- Sequence work based on technical dependencies like migrations and auth
- Generate ready-to-post GitHub issues from a product requirements document
Known Limitations
- Notion API not supported (users export manually for privacy and simplicity)
- GitHub CLI (
gh) required for automatic issue creation - Estimate complexity (Small/Medium/Large) is AI-generated—review before sprint planning
- Does not parse images, diagrams, or tables from Notion (text only)
- Maximum spec length: ~10,000 words (longer specs may need chunking)
- No direct Jira, Linear, Asana, or Shortcut integration (planned for future versions)
- Task dependencies are inferred; user may need to adjust
- Ambiguous requirements flagged but not automatically resolved (user must clarify)
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/spec2code -o /tmp/spec2code.zip && unzip -o /tmp/spec2code.zip -d ~/.claude/skills && rm /tmp/spec2code.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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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.
Compatible agents: - Claude Code - Codex Requirements: - No external dependencies for core functionality (just paste your spec) Optional: - GitHub CLI (`gh`) installed and authenticated for automatic issue creation - Notion account (for exporting pages to markdown - File → Export → Markdown & CSV) The skill works entirely offline with pasted text. Notion API is not used (users export manually for privacy and simplicity). All parsing happens locally.
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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