brutal-agent

Orchestrate subsystem-by-subsystem project hardening by combining brutal-project-review and task-worker in a strict loop: review one subsystem, create CRITICAL/MAJOR tasks, run all tasks to completion, then move to the next subsystem. Continue full review/task passes until a complete pass finds no new CRITICAL/MAJOR issues. Use when the user wants both deep subsystem review and autonomous task execution with no instruction loss.

16 stars

Best use case

brutal-agent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Orchestrate subsystem-by-subsystem project hardening by combining brutal-project-review and task-worker in a strict loop: review one subsystem, create CRITICAL/MAJOR tasks, run all tasks to completion, then move to the next subsystem. Continue full review/task passes until a complete pass finds no new CRITICAL/MAJOR issues. Use when the user wants both deep subsystem review and autonomous task execution with no instruction loss.

Teams using brutal-agent should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/brutal-agent/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/data-ai/brutal-agent/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/brutal-agent/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How brutal-agent Compares

Feature / Agentbrutal-agentStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Orchestrate subsystem-by-subsystem project hardening by combining brutal-project-review and task-worker in a strict loop: review one subsystem, create CRITICAL/MAJOR tasks, run all tasks to completion, then move to the next subsystem. Continue full review/task passes until a complete pass finds no new CRITICAL/MAJOR issues. Use when the user wants both deep subsystem review and autonomous task execution with no instruction loss.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

Run a strict orchestration loop that combines these two skills without dropping any instructions:
- `/home/user/.codex/skills/brutal-project-review/SKILL.md`
- `/home/user/.codex/skills/task-worker/SKILL.md`

## Non-Negotiable Inheritance Rules

1. Read both source `SKILL.md` files in full before starting.
2. Treat every instruction in both source files as authoritative and preserved.
3. Do not summarize away, simplify, or omit any requirement from either source skill.
4. Only add orchestration logic for ordering. If there is tension, preserve source-skill behavior and use this skill only to decide sequence.

## Orchestration Workflow

### Step 0: Load Source Skills
- Read:
  - `/home/user/.codex/skills/brutal-project-review/SKILL.md`
  - `/home/user/.codex/skills/task-worker/SKILL.md`
- Keep their instructions active for the rest of execution.

### Step 0.5: Load Project Target Context (Before Feature Planning)
- Before planning any feature work, check for `TARGET.md` in the project root directory.
- If `TARGET.md` exists, read it in full and treat it as required planning context.
- Do not start feature planning until this check/read has been completed.

### Step 1: Drain Existing Tasks First (Resume Safety)
- If any task exists in either:
  - `workspace/tasks/in-progress/`
  - `workspace/tasks/todo/`
- Run `task-worker` exactly as specified, until it reports no more tasks.
- This prevents reviewing additional subsystems while previous findings remain unaddressed.

### Step 1.5: Initialize Pass Tracking
- Define a "pass" as reviewing all currently discovered subsystems to `done` once.
- Read `.claude/review-state/manifest.json` and record:
  - `pass_started_at`
  - `pass_baseline_tasks_created = len(tasks_created)` (use `0` if manifest does not yet exist)
- Use this baseline to determine whether the pass discovered any new CRITICAL/MAJOR issues.

### Step 2: Review One Subsystem
- Run `brutal-project-review` exactly as specified.
- Execute one full subsystem cycle (including report, task creation, manifest update, completion marking, and cleanup) for the next pending subsystem.

### Step 3: Run All Tasks to Completion
- Immediately run `task-worker` exactly as specified.
- Let it process continuously until both are empty:
  - `workspace/tasks/todo/`
  - `workspace/tasks/in-progress/`
- Respect all TDD, self-review, fix-loop, verification, state, and lifecycle requirements from `task-worker`.

### Step 4: Loop Control
- Check `brutal-project-review` manifest state.
- If any subsystem remains pending, go back to Step 2.
- If all subsystems are done:
  - Compute `pass_new_tasks = len(tasks_created) - pass_baseline_tasks_created`.
  - If `pass_new_tasks > 0`, start another pass:
    - Reinitialize pass tracking (Step 1.5)
    - Go back to Step 2
  - If `pass_new_tasks == 0`, go to Step 5.

### Step 5: Final Drain and Completion Report
- Run one final `task-worker` pass to ensure no residual tasks remain.
- Stop only when this condition is true:
  - Last complete pass produced `pass_new_tasks == 0` (no new CRITICAL/MAJOR issues found)
- Report completion summary:
  - Passes executed
  - New CRITICAL/MAJOR tasks created in last pass (`0`)
  - Subsystems reviewed (done/total)
  - Remaining tasks (must be zero unless explicitly blocked/needs-human-review)
  - Any blocked or needs-human-review tasks

## Execution Contract

When this skill says “run `brutal-project-review`” or “run `task-worker`”, it means:
- Apply the full, original instructions from each referenced source skill.
- Preserve all required formats, severity definitions, state handling, history updates, commits, and review rigor.
- Preserve all resume logic and guardrails from both skills.

This skill only defines the macro-ordering loop:
1. Review one subsystem
2. Run all tasks
3. When a full pass completes, repeat passes until no new CRITICAL/MAJOR tasks are created

Related Skills

brutal-deepresearch

16
from diegosouzapw/awesome-omni-skill

Structured deep research pipeline with confirmation gates and resume support. Generates outline, launches parallel research agents, produces validated JSON results and markdown report.

bgo

10
from diegosouzapw/awesome-omni-skill

Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.

Coding & Development

mcp-create-declarative-agent

16
from diegosouzapw/awesome-omni-skill

Skill converted from mcp-create-declarative-agent.prompt.md

MCP Architecture Expert

16
from diegosouzapw/awesome-omni-skill

Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices

mathem-shopping

16
from diegosouzapw/awesome-omni-skill

Automatiserar att logga in på Mathem.se, söka och lägga till varor från en lista eller recept, hantera ersättningar enligt policy och reservera leveranstid, men lämnar varukorgen redo för manuell checkout.

math-modeling

16
from diegosouzapw/awesome-omni-skill

本技能应在用户要求"数学建模"、"建模比赛"、"数模论文"、"数学建模竞赛"、"建模分析"、"建模求解"或提及数学建模相关任务时使用。适用于全国大学生数学建模竞赛(CUMCM)、美国大学生数学建模竞赛(MCM/ICM)等各类数学建模比赛。

matchms

16
from diegosouzapw/awesome-omni-skill

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.

managing-traefik

16
from diegosouzapw/awesome-omni-skill

Manages Traefik reverse proxy for local development. Use when routing domains to local services, configuring CORS, checking service health, or debugging connectivity issues.

managing-skills

16
from diegosouzapw/awesome-omni-skill

Install, find, update, and manage agent skills. Use when the user wants to add a new skill, search for skills that do something, check if skills are up to date, or update existing skills. Triggers on: install skill, add skill, get skill, find skill, search skill, update skill, check skills, list skills.

manage-agents

16
from diegosouzapw/awesome-omni-skill

Create, modify, and manage Claude Code subagents with specialized expertise. Use when you need to "work with agents", "create an agent", "modify an agent", "set up a specialist", "I need an agent for [task]", or "agent to handle [domain]". Covers agent file format, YAML frontmatter, system prompts, tool restrictions, MCP integration, model selection, and testing.

maintainx-automation

16
from diegosouzapw/awesome-omni-skill

Automate Maintainx tasks via Rube MCP (Composio). Always search tools first for current schemas.

mailsoftly-automation

16
from diegosouzapw/awesome-omni-skill

Automate Mailsoftly tasks via Rube MCP (Composio). Always search tools first for current schemas.