fix-something
- Repo stars 367
- License NOASSERTION
- Author updated Live
- Author repo mngr
- Domain
- Other
- Compatible agents
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- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 94 / 100 · audit passed
- Author / version / license
- @imbue-ai · NOASSERTION
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- Python
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: fix-something
description: Fix a random FIXME in the codebase (in the given scope, use "." for the whole codebase) Your tas…
category: other
runtime: Python
---
# fix-something output preview
## PART A: Task fit
- Use case: Fix a random FIXME in the codebase (in the given scope, use "." for the whole codebase) Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase (eg, normally a FIXME). runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Decide Fit First / Design Intent / How To Use It” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Fix a random FIXME in the codebase (in the given scope, use "." for the whole codebase) Your task is to make ONE improvement to the codebase by fixing a random thing about the codebase (eg, normally a FIXME). runs entirely locally; runs on Python. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Decide Fit First / Design Intent / How To Use It” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Decide Fit First / Design Intent / How To Use It”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: fix-something
description: Fix a random FIXME in the codebase (in the given scope, use "." for the whole codebase) Your tas…
category: other
source: imbue-ai/mngr
---
# fix-something
## When to use
- Fix a random FIXME in the codebase (in the given scope, use "." for the whole codebase) Your task is to make ONE impro…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Decide Fit First / Design Intent / How To Use It” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "fix-something" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Decide Fit First / Design Intent / How To Use It
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} 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:
# FIXME(priority)[attempts=N]: (description)
# (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:
- 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)
- 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 ":" - extend the optional additional context of the FIXME with a brief note about why you were unable to fix it
- commit all of this.
- 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:
- 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.
- 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.
- Go gather all the context for the library that contains that FIXME (per instructions in CLAUDE.md).
- Think carefully about how best to fix that FIXME
- Implement the fix
- 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:
- Revert any changes you made while attempting to fix the issue
- 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 ":" - Extend the optional additional context with a brief note about why you were unable to fix it this time.
- 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).
Decide Fit First
Design Intent
How To Use It
Boundaries And Review