implement

Execute step-by-step implementation plans with JSONL trajectory logging.

10|1|Updated Jun 29, 2026

Search Tags:#automation #workflow #implementation #audit #execution #trajectory

Ready to run

npx skills add https://github.com/mishahanin/heading-os --skill implement-mishahanin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: implement
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/implement
Command: npx skills add https://github.com/mishahanin/heading-os --skill implement-mishahanin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the problem of inconsistent or unverified execution of complex technical plans by enforcing a strict, audit-ready workflow that ensures every step is tracked and verified.

Core Features & Use Cases

Structured Execution: Follows a step-by-step implementation plan with mandatory trajectory logging for every phase.
Auditability: Generates a JSONL trajectory file that allows for automated verification and scrutiny of the entire execution process.
Safety & Validation: Includes pre-implementation gate checks, optional post-run evaluation, and self-verification of file changes to ensure high-quality, reliable outcomes.

Quick Start

Execute the implementation plan located at plans/2026-07-08-new-export.md step by step.

Frequently Asked Questions about implement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I execute a technical implementation plan with an audit trail?▼

To execute a technical implementation plan with an audit trail, you can use a structured execution workflow that processes steps sequentially while generating a JSONL trajectory file for automated verification of every phase.

What is trajectory logging in software development workflows?▼

Trajectory logging in software development workflows is the process of recording every execution phase into a structured JSONL file, ensuring high-fidelity audit trails and enabling automated scrutiny of complex technical plan execution.

How do I automate quality assurance and file modification verification during code execution?▼

Automate quality assurance and file modification verification by running an execution workflow with built-in pre-implementation gate checks, parallel wave dispatching, and rigorous post-run self-validation of all modified files.

Does this structured execution workflow require python3 to run?▼

Yes, this structured execution workflow requires python3 as a dependency to coordinate step-by-step task completion, dispatch parallel waves, and generate audit-ready trajectory logs for your technical plans.

Can I use this for parallel wave dispatching in complex technical plans?▼

Yes, you can use this for parallel wave dispatching in complex technical plans, as the execution workflow explicitly satisfies requirements for deterministic execution across multiple concurrent waves while maintaining strict trajectory logging.

When do I need an audit-ready execution workflow for software development?▼

You need an audit-ready execution workflow for software development when your projects require high-fidelity audit trails, verified file modifications, and automated quality assurance to ensure consistent and trackable technical implementation outcomes.