Skill Claude CodeCodex
Draft a new ExStruct ADR or propose an update to an existing ADR from an issue, PR, diff, tests, and specs. Use when an ADR is required or recommended and you need a structured draft with context, decision, consequences, and evidence.
Skill Claude CodeCodex
Maintain ExStruct ADR index artifacts by scanning ADR files and synchronizing README, index.yaml, and decision-map.md metadata. Use when ADRs are added, updated, superseded, or reclassified and the repository needs a refreshed ADR map for humans and AI agents.
Skill Claude CodeCodex
Review an ExStruct ADR draft for required sections, status values, evidence quality, supersede links, and balanced consequences. Use when an ADR already exists in draft form and you need findings before review or merge.
Skill Claude CodeCodex
Audit ExStruct ADRs against current specs, tests, and source code to detect policy drift, missing ADR updates, stale references, and evidence gaps. Use after merges, during periodic ADR audits, or when a review suspects that implementation and ADRs have diverged.
Skill Claude CodeCodex
Review an ExStruct ADR draft for decision quality, overlap with existing ADRs and specs, evidence strength, rollout risk, and human-ownership escalations. Use only after adr-linter reports no unresolved high/medium findings on the current draft, and when you need design-review findings before merge or handoff.
Skill Claude CodeCodex
Determine whether a change in ExStruct needs an ADR, using repository-specific governance and criteria. Use when reading an issue, PR, review thread, or diff and you need a verdict of required, recommended, or not-needed, plus candidate ADR titles and related existing ADRs.
Skill Claude CodeCodex
Retrieve and format Codacy analysis issues by running scripts/codacyissues.py in the ExStruct workspace. Use when users ask to inspect repository or pull-request Codacy findings, filter by severity, or produce structured issue output for review and fix planning.
Skill Claude CodeCodex
Use ExStruct CLI to validate, inspect, create, and edit Excel workbooks safely. Trigger when an agent needs exstruct patch, exstruct make, exstruct validate, exstruct ops list, or exstruct ops describe, especially for create-vs-edit decisions, dry-run workflows, backend constraints, or safe workbook-edit guidance.
Instructions file CodexOpenCode
Instructions for harumiWeb/exstruct, covering exstruct ai agents guide, 0. overview, 1. workflow design, 1. use plan mode by default and 2. multi-agent strategy.
Instructions file
Instructions for harumiWeb/exstruct, a project described as: Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.
Agent
This document defines the criteria AI agents use to classify a change as required, recommended, or not-needed.
Agent
This document defines when AI agents should create or update ADRs in ExStruct, and what counts as evidence.
Agent
This document defines the standard flow for handling ADRs from issues and PRs.
Agent
These are ExStruct-specific coding conventions for achieving a codebase that AI (Codex) and humans can maintain together over the long term. The conventions below also apply when having Codex generate code. They are intended to stabilize the quality of AI-generated code, improve maintainability, and align with Ruff /…
Agent
ExStruct is a Python library that extracts semantic structure from Excel workbooks. It combines openpyxl, Excel COM (xlwings), and a LibreOffice backend to generate structured data that LLMs can work with easily.