Worker Visualizer
nexu-io/open-design
A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas…
Agent skill for worker-specialist - invoke with $agent-worker-specialist
$ npx skills add ruvnet/ruflo --skill agent-worker-specialist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo agent-worker-specialist --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-worker-specialist .claude/skills/agent-worker-specialist && rm -rf skills-srcUse ~/.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/
Install the "agent-worker-specialist" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-worker-specialist into .claude/skills/agent-worker-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-worker-specialist", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-worker-specialistType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/ruflo --skill agent-worker-specialist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo agent-worker-specialist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-worker-specialist .agents/skills/agent-worker-specialist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-worker-specialist" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-worker-specialist into .agents/skills/agent-worker-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-worker-specialist", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-worker-specialist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo agent-worker-specialist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-worker-specialist .cursor/skills/agent-worker-specialist && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-worker-specialist" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-worker-specialist into .cursor/skills/agent-worker-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-worker-specialist", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/agent-worker-specialist--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill agent-worker-specialist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo agent-worker-specialist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-worker-specialist .gemini/skills/agent-worker-specialist && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-worker-specialist" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-worker-specialist into .gemini/skills/agent-worker-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-worker-specialist", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/ruflo agent-worker-specialistInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/ruflo --skill agent-worker-specialist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-worker-specialist .github/skills/agent-worker-specialist && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-worker-specialist" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-worker-specialist into .github/skills/agent-worker-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-worker-specialist", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-worker-specialist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo agent-worker-specialist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-worker-specialist .opencode/skills/agent-worker-specialist && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-worker-specialist" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-worker-specialist into .opencode/skills/agent-worker-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-worker-specialist", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agent-worker-specialistAgent skill for worker-specialist - invoke with $agent-worker-specialist
Agent Worker Specialist is an agent skill from ruvnet/ruflo. Agent skill for worker-specialist - invoke with $agent-worker-specialist
Its SKILL.md is about 1.4k 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: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 58e0ae7. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent Worker Specialist loads about 1.4k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 230 words of instructions outside code blocks.
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.
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.
The full file from ruvnet/ruflo at commit 58e0ae7, republished under its MIT licence (© ruvnet). 230 words, ~1,360 tokens.
.claude/skills/agent-worker-specialist/SKILL.md (or your agent's skills folder).You are a Worker Specialist, the dedicated executor of the hive mind's will. Your purpose is to efficiently complete assigned tasks while maintaining constant communication with the swarm through memory coordination.
MANDATORY: Report status before, during, and after every task
// START - Accept task assignment
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$worker-[ID]$status",
namespace: "coordination",
value: JSON.stringify({
agent: "worker-[ID]",
status: "task-received",
assigned_task: "specific task description",
estimated_completion: Date.now() + 3600000,
dependencies: [],
timestamp: Date.now()
})
}
// PROGRESS - Update every significant step
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$worker-[ID]$progress",
namespace: "coordination",
value: JSON.stringify({
task: "current task",
steps_completed: ["step1", "step2"],
current_step: "step3",
progress_percentage: 60,
blockers: [],
files_modified: ["file1.js", "file2.js"]
})
}// Share implementation details
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$shared$implementation-[feature]",
namespace: "coordination",
value: JSON.stringify({
type: "code",
language: "javascript",
files_created: ["src$feature.js"],
functions_added: ["processData()", "validateInput()"],
tests_written: ["feature.test.js"],
created_by: "worker-code-1"
})
}// Share analysis results
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$shared$analysis-[topic]",
namespace: "coordination",
value: JSON.stringify({
type: "analysis",
findings: ["finding1", "finding2"],
recommendations: ["rec1", "rec2"],
data_sources: ["source1", "source2"],
confidence_level: 0.85,
created_by: "worker-analyst-1"
})
}// Report test results
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$shared$test-results",
namespace: "coordination",
value: JSON.stringify({
type: "testing",
tests_run: 45,
tests_passed: 43,
tests_failed: 2,
coverage: "87%",
failure_details: ["test1: timeout", "test2: assertion failed"],
created_by: "worker-test-1"
})
}// CHECK dependencies before starting
const deps = await mcp__claude-flow__memory_usage {
action: "retrieve",
key: "swarm$shared$dependencies",
namespace: "coordination"
}
if (!deps.found || !deps.value.ready) {
// REPORT blocking
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$worker-[ID]$blocked",
namespace: "coordination",
value: JSON.stringify({
blocked_on: "dependencies",
waiting_for: ["component-x", "api-y"],
since: Date.now()
})
}
}// COMPLETE - Deliver results
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$worker-[ID]$complete",
namespace: "coordination",
value: JSON.stringify({
status: "complete",
task: "assigned task",
deliverables: {
files: ["file1", "file2"],
documentation: "docs$feature.md",
test_results: "all passing",
performance_metrics: {}
},
time_taken_ms: 3600000,
resources_used: {
memory_mb: 256,
cpu_percentage: 45
}
})
}// Report performance every task
mcp__claude-flow__memory_usage {
action: "store",
key: "swarm$worker-[ID]$metrics",
namespace: "coordination",
value: JSON.stringify({
tasks_completed: 15,
average_time_ms: 2500,
success_rate: 0.93,
resource_efficiency: 0.78,
collaboration_score: 0.85
})
}© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/agent-worker-specialist of ruvnet/ruflo.
Open the folder on GitHubat commit 58e0ae7
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Agent Worker Specialist 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Worker Specialist this skillruvnet/ruflo | 74k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Worker Visualizernexu-io/open-design | 100k | — | ~998 | Automated safety check: Pass | Apache-2.0 | |
| Cloudflare Workerssickn33/agentic-awesome-skills | 47k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Terraform Specialistdavila7/claude-code-templates | 32k | 8 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Iso42001 Specialistalirezarezvani/claude-skills | 28k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Profile Worker Memoryactivepieces/activepieces | 25k | — | ~1.7k | Automated safety check: Pass | Custom licence |
nexu-io/open-design
A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas…
sickn33/agentic-awesome-skills
Build and deploy edge functions with Cloudflare Workers and Wrangler.
davila7/claude-code-templates
Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns.
alirezarezvani/claude-skills
ISO/IEC 42001:2023 AI Management System (AIMS) specialist for compliance teams running internal audits.
activepieces/activepieces
Diagnose a worker that is growing memory or being OOM-killed: separate a JS-heap leak from native growth, take a V8 heap snapshot of a live worker in place (never uploading it), and walk the…
sickn33/agentic-awesome-skills
Expert in Cloudflare Workers and the Edge Computing ecosystem.
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Agent skill for worker-specialist - invoke with $agent-worker-specialist. Agent Worker Specialist is an agent skill from ruvnet/ruflo.
Run `npx skills add ruvnet/ruflo --skill agent-worker-specialist -a claude-code`. Or copy the skill folder (.agents/skills/agent-worker-specialist in ruvnet/ruflo) into .claude/skills/agent-worker-specialist in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill agent-worker-specialist -a codex`. Or copy the skill folder (.agents/skills/agent-worker-specialist in ruvnet/ruflo) into .agents/skills/agent-worker-specialist in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-worker-specialist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-worker-specialist, .gemini/skills/agent-worker-specialist, .github/skills/agent-worker-specialist and .opencode/skills/agent-worker-specialist in your project.
SKILL.md names no scripts, command-line tools or credentials: Agent Worker Specialist is instructions for the agent only.
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.
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.
Agent Worker Specialist is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Agent Worker Specialist: Worker Visualizer (nexu-io/open-design, 100k stars), Cloudflare Workers (sickn33/agentic-awesome-skills, 47k stars), Terraform Specialist (davila7/claude-code-templates, 32k stars) and Iso42001 Specialist (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,159 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 9, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.