Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsBlogPro
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges
  • Chrome Extension
  • Skill Manager

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Graph Engineering

ASecurity

Use when designing, compiling, and executing Directed Acyclic Graphs (DAGs) for multi-agent workflows, data pipelines, build systems, and dependency resolution. Enforces cycle detection, topological sorting, and parallel wave execution.

5 stars
0 votes
0 copies
1 views
Added 9/27/2026
ai-agentstypescriptgobashnoderailstestingperformance

Works with

terminalcli

Security Analysis

A100/100

Scanned 9/29/2026

$npx -y skills add Harmitx7/tribunal-kit --skill graph-engineering --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Graph Engineering?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Graph Engineering
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/harmitx7-graph-engineering/badge)](https://www.skillsdirectory.com/skills/harmitx7-graph-engineering)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
Files
SKILL.md
---
name: graph-engineering
description: "Use when designing, compiling, and executing Directed Acyclic Graphs (DAGs) for multi-agent workflows, data pipelines, build systems, and dependency resolution. Enforces cycle detection, topological sorting, and parallel wave execution."
version: 6.0.0
last-updated: 2026-09-29
skills:
  - agent-organizer
  - system-design-pro
tools: Read, Grep, Glob, Bash, Edit, Write
scripts-binding:
  - .agent/scripts/swarm_dispatcher.js
  - .agent/scripts/verify_all.js
  - .agent/scripts/lint_runner.js
---

# Graph Engineering — DAG Orchestration & Topological Execution

## Activation Boundaries
- **Activate when:** Use when designing, compiling, and executing Directed Acyclic Graphs (DAGs) for multi-agent workflows, data pipelines, build systems, and dependency resolution. Enforces cycle detection, topological sorting, and parallel wave execution.
- **DO NOT activate when:** The task falls outside the `graph-engineering` domain or is managed by a different dedicated specialist agent.


## 🔁 Multi-Pass Execution Protocol

| Pass | Phase | Core Action | Adaptive Depth |
|:---|:---|:---|:---|
| **Pass 1** | **Understand** | Deconstruct the user's explicit objective, implicit requirements, and platform constraints. | Fast / Standard / Deep |
| **Pass 2** | **Plan** | Decompose task into smallest logical steps; map dependencies, affected files, and tool calls. | Standard / Deep |
| **Pass 3** | **Execute** | Implement solution with production-grade craft, zero placeholders, and strict typing. | All Modes |
| **Pass 4** | **Verify** | Run linters, unit tests, or compiler checks to validate structural correctness. | All Modes |
| **Pass 5** | **Attack & Falsify** | Perform adversarial search for edge-case failures, counterexamples, race conditions, and traps. | Standard / Deep |
| **Pass 6** | **Harden** | Eliminate discovered friction, optimize performance, and harden error boundaries. | Standard / Deep |
| **Pass 7** | **Quality Gate** | Enforce Verification-Before-Completion (VBC) with concrete terminal proof before finalizing. | All Modes |


## Mandatory Pre-Flight Context Inspection
1. **Cycle Detection**: Verify graph is strictly acyclic; circular dependencies cause permanent deadlocks.
2. **Topological Order**: Sort tasks so every dependency executes and completes before dependent tasks launch.
3. **Parallel Wave Grouping**: Group tasks with in-degree 0 into simultaneous execution waves.
4. **State Transmission**: Ensure edge outputs pass structured payloads conforming to target node input schemas.
5. **Failure Propagation**: Define node failure behavior: abort entire graph, skip downstream dependents, or fallback.

## 🛠️ Technical Architecture & Reference Recipes

### 1. Topological Sorting & Parallel Wave Partitioning (Kahn's Algorithm)
```typescript
export interface TaskNode {
  id: string;
  dependencies: string[]; // List of task IDs that must complete first
  execute: () => Promise<void>;
}

export function computeExecutionWaves(tasks: TaskNode[]): TaskNode[][] {
  const inDegree = new Map<string, number>();
  const graph = new Map<string, string[]>();

  tasks.forEach(t => {
    inDegree.set(t.id, t.dependencies.length);
    graph.set(t.id, []);
  });

  tasks.forEach(t => {
    t.dependencies.forEach(dep => {
      graph.get(dep)?.push(t.id);
    });
  });

  const waves: TaskNode[][] = [];
  let remaining = new Set(tasks.map(t => t.id));

  while (remaining.size > 0) {
    const currentWaveIds = Array.from(remaining).filter(id => inDegree.get(id) === 0);
    if (currentWaveIds.length === 0) {
      throw new Error('Cycle detected in task dependency graph! Execution deadlocked.');
    }

    const currentWave = tasks.filter(t => currentWaveIds.includes(t.id));
    waves.push(currentWave);

    currentWaveIds.forEach(id => {
      remaining.delete(id);
      graph.get(id)?.forEach(dependent => {
        inDegree.set(dependent, (inDegree.get(dependent) || 1) - 1);
      });
    });
  }

  return waves;
}
```

## 🚨 Edge-Case & Failure Mode Matrix

| Scenario | Risk | Production Mitigation |
|:---|:---|:---|
| **Circular Dependency Deadlock** | Node A depends on B, B depends on A; execution stalls indefinitely | Run Kahn's cycle check at compile time before launching any tasks |
| **Cascading Pipeline Abort** | A non-critical leaf node failure aborts completely unrelated parallel work | Classify node failures as CRITICAL (aborts wave) or OPTIONAL (logs warning, continues) |

## 🏛️ Tribunal Verification & Guardrails

### 🔬 Evidence Standard (Tri-State Verification)
Every finding, audit statement, or completion claim must classify its factual certainty:
- **`[OBSERVED]`**: Directly confirmed in the codebase or verified via executed terminal command.
- **`[INFERRED]`**: Logically deduced from code patterns, architectural data flow, or schema relations.
- **`[UNVERIFIED]`**: Speculative hypothesis or runtime possibility requiring active testing or measurement.

- **Active Reviewers:** `orchestrator`, `system-architect`
- **Evidence Standard:** Mark all node states as `[OBSERVED]` execution outputs or `[INFERRED]` dependencies.

## 🤖 LLM-Specific Traps Table

| Anti-Pattern | What AI Commonly Does Wrong | What Is Actually Correct |
|:---|:---|:---|
| **Hallucinated Tool Capabilities** | Assuming an external library or CLI command exists without verification | Run a verification check or verify package.json before referencing tools |
| **Premature Completion Claim** | Declaring a task finished because code was generated without verification | Execute tests, linters, or terminal commands to provide concrete proof |
| **Context Bloat Dumping** | Pasting entire multi-thousand-line files into prompt context | Extract targeted excerpts, symbols, and signatures to preserve tokens |

Attribution

Harmitx7Harmitx7
View sourceSee grades on GitHubMore from Harmitx7 →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Terse caveman voice: answer first, fluff gone, every technical fact kept. Use for /caveman, "caveman mode", "talk like caveman", "be brief", "less tokens". Stays on until "stop caveman" or "normal mode".

1100021 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

698621 votes

Writing Skills

Create and manage Claude Code skills in HASH repository following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns), UserPromptSubmit hook, and the 500-line rule. Includes validation and debugging with SKILL_DEBUG. Examples include rust-error-stack, cargo-dep...

3931 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3421 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Amp, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Grok Build, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

741 votes
View all in ai-agents →