fix-something — for Claude Code fix-something, community, for Claude Code, ide skills, ie, the, improvement, codebase, fixing, random, normally

v1.0.0

Acerca de este Skill

Escenario recomendado: Ideal for AI agents that need your task is to make one improvement to the codebase by fixing a random thing about the codebase. Resumen localizado: CLI for managing agents Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase (eg, normally a FIXME). This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Características

Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase
In order to make this process easier for you, our FIXMEs are specially formatted:
FIXME(priority)[attempts=N]: (description)
(optional additional context)
If there have been no prior attempts, the [attempts=N] part may be omitted.

# Core Topics

imbue-ai imbue-ai
[13]
[3]
Updated: 3/31/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
46
Canonical Locale
en
Detected Body Locale
en

Escenario recomendado: Ideal for AI agents that need your task is to make one improvement to the codebase by fixing a random thing about the codebase. Resumen localizado: CLI for managing agents Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase (eg, normally a FIXME). This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

¿Por qué usar esta habilidad?

Recomendacion: fix-something helps agents your task is to make one improvement to the codebase by fixing a random thing about the codebase. CLI for managing agents Your task is to make ONE improvement to the codebase

Mejor para

Escenario recomendado: Ideal for AI agents that need your task is to make one improvement to the codebase by fixing a random thing about the codebase.

Casos de uso accionables for fix-something

Caso de uso: Applying Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase
Caso de uso: Applying In order to make this process easier for you, our FIXMEs are specially formatted:
Caso de uso: Applying FIXME(priority)[attempts=N]: (description)

! Seguridad y limitaciones

  • Limitacion: If the tests start out passing, then you must select and fix a random FIXME by following this process:
  • Limitacion: Once the tests are passing, be sure that you have removed ONLY that FIXME, then commit your changes.
  • Limitacion: Requires repository-specific context from the skill documentation

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

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FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is fix-something?

Escenario recomendado: Ideal for AI agents that need your task is to make one improvement to the codebase by fixing a random thing about the codebase. Resumen localizado: CLI for managing agents Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase (eg, normally a FIXME). This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install fix-something?

Run the command: npx killer-skills add imbue-ai/mngr/fix-something. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for fix-something?

Key use cases include: Caso de uso: Applying Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase, Caso de uso: Applying In order to make this process easier for you, our FIXMEs are specially formatted:, Caso de uso: Applying FIXME(priority)[attempts=N]: (description).

Which IDEs are compatible with fix-something?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for fix-something?

Limitacion: If the tests start out passing, then you must select and fix a random FIXME by following this process:. Limitacion: Once the tests are passing, be sure that you have removed ONLY that FIXME, then commit your changes.. Limitacion: Requires repository-specific context from the skill documentation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add imbue-ai/mngr/fix-something. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use fix-something immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

fix-something

Install fix-something, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase (eg, normally a FIXME).

In order to make this process easier for you, our FIXMEs are specially formatted:

python
1# FIXME(priority)[attempts=N]: (description) 2# (optional additional context)

where description is a short description of what needs to be fixed, and N is the number of prior attempts made to fix it (if any). If there have been no prior attempts, the [attempts=N] part may be omitted. The priority is simply an integer, with 0 being the highest priority. priority may or may not be present. If not present, assume priority=3

Before doing any of the below, the first step is to check that the tests are passing by running "uv run pytest"

If the tests are not ALL passing (including all linters, ratchets, type checks, etc), then this is the thing for you to fix. In particular, you must follow this process:

  1. revert the changes from the previous commit by calling "git revert --no-commit HEAD" (so that the changed are in your current working tree, but not yet committed)
  2. update the FIXME that was attempted in the previous commit to increment the attempts count by 1 (if there were no prior attempts, add "[attempts=1]", if there were some prior attempts, increment the number by 1). Note that it should then look something like this: # FIXME[attempts=1]: (original description) or # FIXME0[attempts=2]: (original description), ie, the [attempts=N] part goes before the ":"
  3. extend the optional additional context of the FIXME with a brief note about why you were unable to fix it
  4. commit all of this.
  5. proceed directly to "# The Final Step" below.

If the tests start out passing, then you must select and fix a random FIXME by following this process:

  1. Simply run this bash command, and it will give you a random FIXME line: "./scripts/random_fixme.sh $1". If no lines are returned, then there are no more remaining FIXMEs, so use your "think-of-something-to-fix" skill to come up with something else to fix instead.
  2. Find that FIXME and be sure to read the surrounding context (the optional additional context lines below the FIXME line may be important). This is the task you will be working on.
  3. Go gather all the context for the library that contains that FIXME (per instructions in CLAUDE.md).
  4. Think carefully about how best to fix that FIXME
  5. Implement the fix
  6. Get all the tests passing (use "uv run pytest" to run them, and be sure to fix any issues, no matter how small)

Once the tests are passing, be sure that you have removed ONLY that FIXME, then commit your changes.

If you were unable to fix the issue and get all the tests passing, do the following instead:

  1. Revert any changes you made while attempting to fix the issue
  2. Update the FIXME to increment the attempts count by 1 (if there were no prior attempts, add "[attempts=1]", if there were some prior attempts, increment the number by 1). Note that it should then look something like this: # FIXME[attempts=1]: (original description) or # FIXME0[attempts=2]: (original description), ie, the [attempts=N] part goes before the ":"
  3. Extend the optional additional context with a brief note about why you were unable to fix it this time.
  4. Commit this updated FIXME (be sure that nothing else is being changed!)

The Final Step

Finally, as the very last thing you do (after committing, regardless of whether you succeeded or not), run this command: "touch $2" (to indicate that you have completed your fix task).

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