Best use case
identify-inconsistencies is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Identify inconsistencies in the $1 library
Teams using identify-inconsistencies should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/identify-inconsistencies/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How identify-inconsistencies Compares
| Feature / Agent | identify-inconsistencies | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Identify inconsistencies in the $1 library
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
Go gather all the context for the $1 library (per instructions in CLAUDE.md). Be sure to read non_issues.md as well. Once you've gathered that context, please do the below (and commit when you're finished). Your task is to identify inconsistencies in the $1 library. In particular, focus on the code, and look for things that are done in different ways in different places, inconsistent variable/function/class naming, and any other code-level inconsistencies. Do NOT worry about docstrings, comments, or documentation--focus only on the code itself (those will be covered by another task). Do NOT worry about inconsistencies between the docs/specs and the code either (those will also be covered by another task). Do NOT report issues that are already covered by an existing FIXME Do NOT report issues that are highlighted as non-issues in non_issues.md After reviewing all the code in the library, think carefully about the most important inconsistencies. Then put them, in order from most important to least important, into a markdown file in the library's "_tasks/inconsistencies/" folder (make one if you have to) Name the file "<date>.md` (where you should get "date" by calling this precise command: "date +%Y-%m-%d-%T | tr : -") For the format of the file, use the following: ```markdown # Inconsistencies in the $1 library (identified on <date>) ## 1. <Short description of inconsistency> Description: <detailed description of the inconsistency, including file names and line numbers where applicable> Recommendation: <your recommendation for how to fix the inconsistency> Decision: Accept ## 2. <Short description of inconsistency> Description: <detailed description of the inconsistency, including file names and line numbers where applicable> Recommendation: <your recommendation for how to fix the inconsistency> Decision: Accept ... ``` There's no need to commit when you're done (these files are gitignored). Just be sure to create the file in the right location with the right content.
Related Skills
identify-style-issues
Identify divergences from the style guide in the $1 library
identify-outdated-docstrings
Identify outdated docstrings in the $1 library
identify-doc-code-disagreements
Identify places in the $1 library where the docs and code disagree
writing-specs
Write high quality specifications or design docs for a program. Use any time you are asked to write, improve, or update specs / design docs (e.g., files in a `specs/` folder).
writing-ratchet-tests
Write ratchet tests to prevent accumulation of code anti-patterns. Use when asked to create a "ratchet test" for tracking and preventing specific code patterns (e.g., TODO comments, inline imports, broad exception handling).
writing-docs
Write high quality, user-facing documentation. Use any time you need to write, improve, or update a significant amount of user-facing documentation (e.g., files in a "docs/" folder or README file).
wait-for-agent
Wait for another agent to enter WAITING state, then execute follow-up instructions
update-issues-in-repo
Convert a file containing identified issues into a tracked file in current_tasks/. Use after running identify-* commands to create a local record of current issues.
triage-backlog
Interactively triage the user's local engineering backlog file into GitHub issues. Use when the user wants to process their raw thought notes / ticket backlog into proper GitHub issues.
think-of-something-to-fix
Come up with good ideas about what to fix. Use when you have to fix something, but you're not sure what.
sync-tutorial-to-e2e-tests
Match tutorial script blocks to e2e pytest functions and add missing tests
minds-dev-iterate
Set up and iterate on the minds app stack (desktop client, workspace server, mngr, forever-claude-template) with a running Docker agent