Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress.

Apache-2.0Auto-check passed

Install Run Work

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill run-work -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins run-work --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/AgiFlow/ai-plugin/skills/run-work .claude/skills/run-work && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
run-work
GitHub stars
1.2k
Token cost
~2.6k tokens
SKILL.md length
1,264 words
Files
1
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress.

  • Works in 6 steps: Work Unit Selection & Loading → Start Work Unit Execution → Execute Tasks Sequentially → …
  • Deliver a complete feature in one session
  • SKILL.md covers AgiFlow Project Management…, 1. Work Unit Selection & Loading, 2. Start Work Unit Execution and 3. Execute Tasks Sequentially, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Run Work is an agent skill from hashgraph-online/awesome-codex-plugins. Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress. Use to deliver a complete feature in one session. Invoked as /agiflow:run-work <work-unit. Uses getworkunit, listtasks, updatetask, getworkunitprogress.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Deliver a complete feature in one session

Example prompts

  • “/run-work”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Work Unit Selection & Loading
  2. Start Work Unit Execution
  3. Execute Tasks Sequentially
  4. Work Unit Progress Tracking
  5. Work Unit Completion
  6. Handle Blockers or Scope Changes

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Run Work loads about 2.6k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,264 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 1,264 words, ~2,613 tokens.

Download SKILL.mdSave it as .claude/skills/run-work/SKILL.md (or your agent's skills folder).
name
run-work
description
Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress. Use to deliver a complete feature in one session. Invoked as /agiflow:run-work <work-unit>. Uses get_work_unit, list_tasks, update_task, get_work_unit_progress.
tags
agiflow, mcp, execution, work-unit
metadata.mirrors
backend/apis/agiflow-api .../prompts/work.md

Invoked as /agiflow:run-work. In hosts without slash-prompts, this skill is triggered by matching intent and drives AgiFlow via its MCP tools.

Usage:

  • /agiflow:run-work <work-unit-slug-or-id> - Execute specific work unit
  • /agiflow:run-work - List and select from available work units

Examples:

  • /agiflow:run-work DXX-WU-1 (using slug)
  • /agiflow:run-work 01K8FABMNEJG1XTA9JGHSNFV40 (using ID)
  • /agiflow:run-work (interactive selection)

Guardrails

  • Favor straightforward, minimal implementations first and add complexity only when it is requested or clearly required.
  • Keep changes tightly scoped to the requested outcome within the work unit scope.
  • A work unit represents a cohesive feature/epic that can be completed in one Claude Code session.

If a work unit slug/id is provided, load it with get_work_unit; otherwise list available work units with list_work_units for selection.


AgiFlow Project Management Guidelines

Follow the shared AgiFlow project-management guidelines in references/agiflow-agents.md — agent assignment, the task status workflow and transitions, work-unit best practices, and the tags strategy apply to this workflow.


Task Status Workflow (per task) Each task moves individually through: Todo → In Progress → Testing → Review The work unit stays in_progress until all tasks reach Review or Done. If any task hits Blocked, consider setting the work unit to blocked too.

IMPORTANT: Planning Status Guard This skill ONLY executes tasks in "Todo" or later status. Tasks in "Planning" have NOT been groomed and are NOT ready for execution. Use backlog-grooming to promote Planning tasks to Todo first.

Steps Track these steps as TODOs and complete them one by one.

1. Work Unit Selection & Loading

If work unit slug/id NOT provided:

  1. Use list_work_units MCP tool to show available work units:
    • Filter by status: "in_progress" for active work, or work units with tasks in "Todo"
    • Do NOT pick up work units where all tasks are still in "Planning" status
    • Display: slug, title, type, priority, task count, status
  2. Ask user to select which work unit to work on.
  3. Once user selects, proceed with the selected work unit slug/id.

If work unit slug/id IS provided: 4. Use get_work_unit MCP tool with the provided slug/id to retrieve:

  • Work unit: title, description, goals, type, priority, status, dates, devInfo
  • Tasks: All tasks associated with this work unit (already included in response)
  • Note: get_work_unit returns tasks automatically - no separate list_tasks call needed
  1. Review the work unit and all its tasks to understand:
    • Complete feature scope and deliverables
    • Task dependencies and execution order
    • Acceptance criteria across all tasks

5b. PLANNING STATUS GUARD (MANDATORY):

  • Check all tasks in the work unit
  • If ANY task has status "Planning": REFUSE to execute
  • Report: "Cannot execute: N task(s) are still in Planning status. Use backlog-grooming to promote them to Todo first."
  • List the Planning tasks by title
  • STOP execution — do not proceed

2. Start Work Unit Execution

  1. If work unit status is "planning":
    • First verify ALL tasks are in "Todo" or later status (not "Planning")
    • If verified, use update_work_unit MCP tool to set status to "in_progress"
    • If any tasks are in "Planning", REFUSE and suggest backlog-grooming
  2. Create a TODO list of all tasks in execution order (use TodoWrite tool).
  3. Document execution plan in work unit via update_work_unit devInfo:
    typescript
    devInfo: {
      executionPlan: "Backend API → Frontend UI → Tests → Documentation",
      sessionId: "<current-session-id>",
      startedAt: "<timestamp>"
    }

3. Execute Tasks Sequentially

  1. For each task in the work unit (in dependency order from the tasks array):

    • Review task details: title, description, acceptance criteria, assignee
    • Use update_task MCP tool to set status to "In Progress"
    • BEFORE editing any code: Use architect MCP get_file_design_pattern (MANDATORY)
    • Implement the task following acceptance criteria
    • AFTER editing code: Use architect MCP review_code_change (MANDATORY)
    • Update task devInfo with implementation notes:
      typescript
      devInfo: {
        filesChanged: ["path/to/file.ts:42"],
        testResults: { passed: true, coverage: "85%" },
        notes: "Implementation notes here"
      }
    • Mark acceptance criteria as checked via update_task

    Testing phase for each task:

    • Use update_task to move status to "Testing"

    • Run unit tests, integration tests, type check and lint for affected code

    • If tests PASS: proceed to move task to "Review"

    • If tests FAIL:

      • Increment retryCount in devInfo
      • If retryCount >= maxRetries (default: 2): move task to "Blocked", set work unit to "blocked", stop
      • If retryCount < maxRetries: move task back to "Todo", document failure, continue to next task or stop session
    • Use update_task to set status to "Review" when tests pass

    • Update your TODO list (mark task as completed)

  2. Between tasks:

    • Commit changes with meaningful commit messages
    • Run tests to ensure no regressions
    • Update work unit progress in devInfo

4. Work Unit Progress Tracking

  1. The work unit tasks array automatically updates as tasks are completed.

    • Use get_work_unit to check current state and task statuses
    • Track: How many tasks in Review or Done vs. total?
    • Monitor: Are we on track for target date?
    • Work unit stays in_progress until all tasks reach Review or Done
  2. Update work unit devInfo as you progress via update_work_unit:

    typescript
    devInfo: {
      executionPlan: "...",
      sessionId: "<session-id>",
      startedAt: "<timestamp>",
      progress: {
        completedTasks: 3,
        totalTasks: 8,
        lastTaskCompleted: "Implement cart API",
        currentTask: "Add cart UI component"
      },
      testResults: {
        unitTests: "passing",
        integrationTests: "passing",
        coverage: "85%"
      },
      blockers: [] // or list any blockers encountered
    }
Show full SKILL.md (462 more words)Show less

5. Work Unit Completion

  1. When ALL tasks in work unit are in "Review" or "Done":

    • Verify all tasks have status "Review" or "Done"
    • Verify all acceptance criteria across all tasks are met
    • Run full test suite for the feature
    • Review all files changed (use git diff)
  2. Draft a PR description for the work unit (DO NOT create the PR yet - just draft the text):

    • Title format: [WORK-UNIT-SLUG] Work unit title (e.g., [DXX-WU-1] Shopping cart feature)
    • Body should include:
      • Work unit reference and summary
      • List of tasks completed
      • Summary of all changes across tasks
      • Files modified (use file.ts:42 format)
      • Test results
  3. Use update_work_unit to set status to "completed" and save draft PR text and commit message:

    typescript
    {
      status: "completed",
      completedAt: new Date(),
      devInfo: {
        ...existing,
        draftCommitMessage: "feat(cart): implement shopping cart feature\n\n- Add cart API endpoints\n- Add cart UI components\n- Add integration tests\n\nCloses: DXX-WU-1",
        draftPr: {
          title: "[DXX-WU-1] Shopping cart feature",
          body: "## Summary\n\nImplemented shopping cart feature.\n\n## Tasks Completed\n\n- [DXX-1] Add cart API\n- [DXX-2] Add cart UI\n- [DXX-3] Add cart tests\n\n## Changes\n\n- Added cart endpoints\n- Added cart components\n- Added integration tests\n\n## Files Modified\n\n- src/api/cart.ts:42\n- src/components/Cart.tsx:15\n- tests/cart.test.ts:1\n\n## Test Results\n\nAll tests passing. Coverage: 85%"
        },
        finalNotes: "All tasks completed. Files changed: [...]. Tests passing.",
        completedBy: "<member-id>",
        totalDuration: "3.5 hours"
      }
    }

    Note on draftCommitMessage: Write a conventional commit message that will be used for the final git commit. Format: type(scope): description with optional body listing changes.

  4. Create final summary comment documenting:

    • Work unit scope and goals achieved
    • All files created/modified (use file.ts:42 format)
    • Test coverage and results
    • Any follow-up work needed
    • Performance or architectural notes

6. Handle Blockers or Scope Changes

  1. If blocked on a task:

    • Use update_task to set task status to "Blocked"
    • Use update_work_unit to set status to "blocked"
    • Document blocker in work unit devInfo
    • Use create_task_comment on blocked task with details explaining what human intervention is needed
    • Consider creating follow-up tasks for blockers
  2. If scope changes during execution:

    • Use create_task to add new tasks to work unit
    • Update work unit description/goals if needed
    • Communicate scope change in work unit comments

Common Mistakes to Avoid

  • ❌ Starting without reviewing all tasks in work unit (lack of context)
  • ❌ Working on tasks in wrong order (missing dependencies)
  • ❌ Skipping vibe-lint MCP validation (MANDATORY for every file)
  • ❌ Not tracking work unit-level progress in devInfo
  • ❌ Completing tasks in isolation without considering work unit goals
  • ❌ Not running integration tests between tasks
  • ❌ Moving task to "Review" without first going through "Testing"
  • ❌ Marking work unit complete when tasks are still in "In Progress" or "Testing"
  • ❌ Not documenting scope changes or blockers
  • ❌ Forgetting to commit between tasks (losing incremental progress)
  • ❌ Not updating work unit status when blocked
  • ❌ Setting work unit to "completed" before all tasks reach "Review" or "Done"
  • ❌ Executing tasks that are still in "Planning" status (must be promoted to "Todo" via backlog-grooming first)

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/AgiFlow/ai-plugin/skills/run-work of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Run Work next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Run Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Run Work this skillhashgraph-online/awesome-codex-plugins1.2k—~2.6kAutomated safety check: PassApache-2.0
Executealirezarezvani/claude-skills28k—~831Automated safety check: PassMIT
Dependency Scanningsickn33/agentic-awesome-skills47k1 repos~2.4kAutomated safety check: PassMIT
Dependency Checkruvnet/ruflo74k—~258Automated safety check: PassMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Unit Teststhedaviddias/Front-End-Checklist74k—~382Automated safety check: PassMIT

Similar skills

  • Execute

    alirezarezvani/claude-skills

    /cs:execute <decision — Generate a 90-day execution plan with weekly milestones, DRIs, and check-in cadence from an approved decision.

    28k GitHub stars~831 tokensUpdated 1 mo ago
    Product & Project ManagementAuto-check passed
  • Dependency Scanning

    sickn33/agentic-awesome-skills

    Scan package dependencies for known vulnerabilities using Snyk, Dependabot, and OWASP Dependency-Check.

    47k GitHub starsUsed in 1 repo~2.4k tokens
    SecurityAuto-check passed
  • Dependency Check

    ruvnet/ruflo

    Scan project dependencies for known vulnerabilities and CVEs.

    74k GitHub stars~258 tokensUpdated today
    SecurityAuto-check passed
  • Official

    Debug failed or wrong-output workflow executions using executions tools.

    207k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed
  • Unit Tests

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing CI coverage, automated checks, or test strategy related to Write unit tests.

    74k GitHub stars~382 tokensUpdated 2 days ago
    Testing & QAAuto-check passed
  • Official

    Apply to multi-step work (sweeps, migrations, runs of similar edits) and to how you stack commits and PRs.

    10k GitHub starsUsed in 9 repos~427 tokens
    Auto-check passed

More from hashgraph-online/awesome-codex-plugins

All 686 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated today
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated today
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated today
    Auto-check passed
  • Manuscript Engagement Analytics

    hashgraph-online/awesome-codex-plugins

    Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…

    1.2k GitHub stars~875 tokensUpdated today
    Auto-check passed

Questions about Run Work

What does Run Work do?

Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress. Run Work is an agent skill from hashgraph-online/awesome-codex-plugins. Execute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress.

When should I use Run Work?

Run Work fits situations like: deliver a complete feature in one session.

How do I install Run Work in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill run-work -a claude-code`. Or copy the skill folder (plugins/AgiFlow/ai-plugin/skills/run-work in hashgraph-online/awesome-codex-plugins) into .claude/skills/run-work in your project. Claude Code loads it when a task matches its description.

How do I install Run Work in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill run-work -a codex`. Or copy the skill folder (plugins/AgiFlow/ai-plugin/skills/run-work in hashgraph-online/awesome-codex-plugins) into .agents/skills/run-work in your project. Codex loads it when a task matches its description.

Can I use Run Work in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill run-work -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-work, .gemini/skills/run-work, .github/skills/run-work and .opencode/skills/run-work in your project.

What does Run Work need to run?

SKILL.md names no scripts, command-line tools or credentials: Run Work is instructions for the agent only.

Does Run Work access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Run Work safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Run Work use?

Run Work is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Run Work use?

About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Run Work?

Skills that share tags, products or a category with Run Work: Execute (alirezarezvani/claude-skills, 28k stars), Dependency Scanning (sickn33/agentic-awesome-skills, 47k stars), Dependency Check (ruvnet/ruflo, 74k stars) and Debugging Executions (n8n-io/n8n, 207k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Run Work?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.