Home / vasilyu1983 / ai-agents-public · frameworks/shared-skills/skills/ai-coding-agents-tasks/SKILL.md · GitHub

ai-coding-agents-tasks skillA

ai-coding-agents-tasks is agent-read markdown (skill) from vasilyu1983/ai-agents-public: Designs task runtimes for Loop Engineering, Graph Engineering, and background work. Use when work needs task lists, cyclic/workflow graphs, cancellation, or teammate coordination..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# AI Coding Agents Tasks

Use this skill to design or review how a coding-agent runtime represents work as tasks: local agent tasks, shell tasks, remote tasks, teammate tasks, background execution, task lists, and task coordination.

This skill is about runtime task systems, not product backlog planning.

## ASCII Flow

```text
work request
  |
  v
task model
  type + owner + status + inputs + blockers + cancellation semantics
  |
  v
task store
  local task list | background task | remote task | teammate task
  |
  v
scheduling
  claim -> run -> progress events -> complete | fail | blocked | release
  |
  v
UI/session reflection
  background badge, task detail, foregrounding, retry, escalation
```

## Quick Reference

| Question | Read | Outcome |
|----------|------|---------|
| What task types should a coding-agent runtime support? | [`references/task-types-and-lifecycle.md`](references/task-types-and-lifecycle.md) | Task families, statuses, background eligibility, and host ownership |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add vasilyu1983/ai-agents-public/ai-coding-agents-tasks@v1.2
Exact content
mdr add vasilyu1983/ai-agents-public/ai-coding-agents-tasks@sha256:545c467949cfbdbb

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
v1.2 latest2026-09-23 8dc5de4 31,643 BA view · diff
v1.22026-08-21 53f6cb7 31,205 BA view · diff
v1.22026-08-10 dbde686 31,084 BA view · diff
v1.12026-08-09 da9d28f 30,386 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (31643 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

vasilyu1983/ai-agents-public · 88 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_otlfamh22uu6revw
GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-coding-agents-tasks
GET https://markdownregistry.com/api/v1/blob/545c467949cfbdbb727d7d741e4a80e0c8579d35ea24f08faef3fac15b80af70

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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