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OpenClaw Custom Skills

Collection of 9 custom OpenClaw agent skills spanning ADHD productivity, multi-agent orchestration, system architecture, monitoring, and developer tooling.

Role

Sole author

Team

Solo

Duration

Active / maintained

Year

2025

OpenClaw Agent Skills YAML Markdown Prompt Engineering
Agent Skills Prompt Engineering DevOps
OpenClaw Custom Skills hero

What & Why

OpenClaw's skill system lets you extend the agent's behavior with domain-specific instructions, tools, and workflows. Rather than re-explaining how to use a tool every time, a skill packages the knowledge permanently. This collection covers the domains I interact with most: personal productivity, multi-agent work, infrastructure, and code review.

Key Features (Skills)

SkillWhat It Does
ADHD AssistantEvidence-based daily planning, task breakdown, time management, dopamine regulation, body doubling — ADHD-friendly scaffolding for executive function
Agent OrchestratorMeta-agent that decomposes macro tasks, spawns parallel sub-agents with dynamically generated SKILL.md files, consolidates results
Mermaid ArchitectGenerates Mermaid diagrams with robust syntax (quoted labels, ELK layout) — flowcharts, sequence, class, state diagrams
Senior ArchitectSystem design reviews, ADRs, tech stack evaluation, monolith vs microservices decisions, dependency analysis
Coding AgentDelegates coding tasks to Codex/Claude Code/Pi via background PTY process — handles feature builds, PR reviews, refactors
Adaptive SuiteMulti-domain adaptive skill: coder, analyst, PM, web dev, data analyst — discovers free tools/APIs and adapts to context
Uptime KumaManages Uptime Kuma monitors via Socket.IO API — check status, add/remove monitors, view heartbeat history
WebhookSecure webhook receiver/sender patterns: HMAC verification, replay prevention, retry logic, idempotency
Mission ControlDashboard control skill — integrates Mission Control into the agent's operational loop

Standout: Agent Orchestrator enables true parallel workloads — the agent splits a complex task into N sub-agents, each with its own generated SKILL.md, runs them concurrently, and consolidates. This is what powers the current case study generation task itself.

Tech & Implementation

Stack: Markdown (SKILL.md spec) · YAML frontmatter · Bash/Python scripts (where applicable) · OpenClaw skill loader

Notable design principle: Each skill follows the OpenClaw SKILL.md spec — structured metadata (name, description, compatibility, tags) plus prose instructions the agent reads at runtime. The description field doubles as the trigger condition: if the description matches user intent, the skill loads. This makes authoring skills essentially prompt engineering + documentation.

Outcome

All 9 skills are active in daily use. The Agent Orchestrator skill enabled parallel execution of complex multi-file tasks (like this portfolio build). The ADHD Assistant is used weekly for planning. Senior Architect and Coding Agent have been used in multiple production projects. Demonstrates deep understanding of the OpenClaw skill architecture and ability to extend AI agent capabilities systematically.

Agent Orchestrator Flow

flowchart TD
    User["User Request"] --> Orchestrator["Agent Orchestrator"]
    Orchestrator --> Decompose["Decompose into subtasks"]
    Decompose --> A1["Sub-agent 1\n(dynamic SKILL.md)"]
    Decompose --> A2["Sub-agent 2\n(dynamic SKILL.md)"]
    Decompose --> A3["Sub-agent N\n(dynamic SKILL.md)"]
    A1 --> Consolidate["Consolidate Results"]
    A2 --> Consolidate
    A3 --> Consolidate
    Consolidate --> Output["Deliver to User"]