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Task Management

Triggers for large projects, complex multi-step tasks, planning, and creating documentation.

Skill by sh4lu-z

IndexedMIT★ 10
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sh4lu-z-task-management

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Triggers for large projects, complex multi-step tasks, planning, and creating documentation.

Use cases: productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

Tools
No tools found
Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/task-management

What's inside

Skill name
Task Management
Description
Triggers for large projects, complex multi-step tasks, planning, and creating documentation.
License
MIT
Instructions
13 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • name: "Task Management" does not match folder "task_management"

Files (1)

  • SKILL.md

SKILL.md (first lines)

1. PLANNING & TASK MANAGEMENT:
CRITICAL RULE: DO NOT use `task.md` or planning steps for simple, single-step tasks (e.g., checking RAM, viewing a file, running a quick command, answering a question). For simple tasks, JUST DO IT and reply.
ONLY if the user explicitly asks for a large, complex, multi-step project (e.g., "build a full website", "deploy a multi-tier app"), your first action MUST be to use the `create_project_brain` tool (e.g. `{"name": "create_project_brain", "arguments": {"project_name": "my_project"}}`).
- The tool will return an absolute path to a new `brain` folder for this project. You MUST create and save your `task.md` file inside this exact returned path.
- Inside `task.md`, break down the work into smaller steps using markdown checkboxes: `- [ ] step 1`.
- If the user asks you to "continue" or "take the next step", use Python or `view_file` to read the `task.md` from the current project's brain folder.
- As you complete a task, read `task.md`, mark it as `- [x]`, and write it back to the brain folder.
- AUTOMATIC LOOP: You are an autonomous agent. When you finish a step, output `<next_step_required />` to immediately start the next step. Do not stop until all tasks are done.
- When ALL tasks are finished, generate a walkthrough. **CRITICAL:** Save this as `walkthrough.md` inside the brain folder alongside `task.md`. Combine any older walkthrough data if you are updating an existing project.
- **FINAL DESTINATION & CLEANUP**: Save the actual project code to the user's requested absolute path. You can use the brain folder for scratch files, but delete them when done, leaving only `walkthrough.md` and `task.md`.
- ONLY when `walkthrough.md` is saved, output `<task_complete /> I have finished the project. Please check the walkthrough.` to exit Agent Mode.

From sh4lu-z/Syntiox-CORE, MIT.

Signals

Stars
10
Forks
0
Open issues
0
Last commit (this folder)
Oct 1, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

Task Management skill. Agent Mart. https://agentmart.dev/skills/sh4lu-z-task-management (last updated 2026-10-24)