agentleFS
Sign inStart free
NVIDIAKnown publisherNVIDIA/SkillEvaluator/src/skillevaluator/tier3/reference_skills/task-list/SKILL.md

task-list

Skill656 starsChanged 6 days agoApache-2.0View on GitHub

Required for 4+ step requests; add tasks at start and update status after each step.

2 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. mae616/ai-template★ 9same name
    2. LeoFuso/blaine★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository7 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Add tasks before starting multi-step work.

    line 19
  2. Distinctive:

    Update task status as each step completes.

    line 21
  3. Distinctive:

    Keep task text concise and action-oriented.

    line 22
  4. Very specific:

    Use the tasks tool directly.

    line 26
  5. Distinctive:

    Start before working, complete when done

    line 71
  6. Distinctive:

    Do not leave tasks hanging

    line 72

≈ “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

Task List Skill

Track multi-step tasks to ensure nothing is forgotten.

When to use

  • The request requires 4 or more distinct steps
  • You need to perform several operations in sequence

Instructions

  1. Add tasks before starting multi-step work.
  2. Mark exactly one task in progress while working.
  3. Update task status as each step completes.
  4. Keep task text concise and action-oriented.

How to use

Use the tasks tool directly. Do NOT use run_code, execute, or write_file for task management.

1. Add tasks at the start

tasks(operation="add_multiple", content="Step one; Step two; Step three")

This clears any previous tasks. Each request starts fresh.

Examples

tasks(operation="add_multiple", content="Inspect repo; Run tests; Summarize findings")
tasks(operation="start", task_id="task_1")
tasks(operation="complete", task_id="task_1")

2. Start a task before working on it

tasks(operation="start", task_id="task_1")

3. Complete a task when done

tasks(operation="complete", task_id="task_1")

4. Check what's next

tasks(operation="next")

All operations

OperationArgsDescription
add_multiplecontent="t1; t2; t3"Add tasks (clears previous)
starttask_id="task_1"Mark in_progress
completetask_id="task_1"Mark completed
canceltask_id="task_1"Cancel a task
list(none)Show all tasks
next(none)Get next pending task

Rules

  • One task in_progress at a time
  • Start before working, complete when done
  • Do not leave tasks hanging

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.

Check your setup, free