agentleFS
omdenkar2-uiomdenkar2-ui/all-in-one/skills/aio-algorithms/SKILL.md

aio-algorithms

Skill0 starsChanged 30 days agoMITView on GitHub

Build and verify backend algorithms with independent oracles and explicit resource bounds.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read algorithms. Specify inputs, outputs, invalid cases, ties, numeric/error tolerance and time/space dimensions.

    line 12

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

AIO Algorithms

Build and verify backend algorithms with independent oracles and explicit resource bounds.

Protocol

  1. Read algorithms. Specify inputs, outputs, invalid cases, ties, numeric/error tolerance and time/space dimensions.
  2. Select the simplest suitable algorithm and derive its complexity, including database/network round trips. State the correctness invariant independently from implementation.
  3. Construct a trusted bounded oracle or property checks and meaningful adversarial cases before optimization. Exercise empty/large/skewed input, duplicates, ties and overflow/precision boundaries where relevant.
  4. Implement through aio-tdd; compare results against the oracle and measure representative memory/time. Concurrency or caching must preserve cancellation, invalidation and ordering semantics.
  5. Return exact workload/results and limits. Benchmark anecdotes do not establish universal speed improvements.

Return and handoff

An algorithm implementation with oracle/property evidence, complexity and representative measurements.

In a pipeline, use the stage contract and return to the integrating controller. Run only this specialist's owned scope; preserve the user's accepted decisions and existing authorization.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.