MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Multi-agent coordination, critical path method, dependency DAG, and agent allocation optimization
Install Swarm Optimization Patterns
$ npx skills add vibeeval/vibecosystem --skill swarm-optimization-patterns -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vibeeval/vibecosystem swarm-optimization-patterns --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/vibeeval/vibecosystem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/swarm-optimization-patterns .claude/skills/swarm-optimization-patterns && 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 "swarm-optimization-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/swarm-optimization-patterns into .claude/skills/swarm-optimization-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-optimization-patterns", 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/vibeeval/vibecosystem/tree/main/skills/swarm-optimization-patternsType 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 vibeeval/vibecosystem --skill swarm-optimization-patterns -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vibeeval/vibecosystem swarm-optimization-patterns --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/swarm-optimization-patterns .agents/skills/swarm-optimization-patterns && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "swarm-optimization-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/swarm-optimization-patterns into .agents/skills/swarm-optimization-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-optimization-patterns", 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 vibeeval/vibecosystem --skill swarm-optimization-patterns -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vibeeval/vibecosystem swarm-optimization-patterns --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/swarm-optimization-patterns .cursor/skills/swarm-optimization-patterns && 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 "swarm-optimization-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/swarm-optimization-patterns into .cursor/skills/swarm-optimization-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-optimization-patterns", 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/vibeeval/vibecosystem.git --path skills/swarm-optimization-patterns--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 vibeeval/vibecosystem --skill swarm-optimization-patterns -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vibeeval/vibecosystem swarm-optimization-patterns --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/swarm-optimization-patterns .gemini/skills/swarm-optimization-patterns && 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 "swarm-optimization-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/swarm-optimization-patterns into .gemini/skills/swarm-optimization-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-optimization-patterns", 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 vibeeval/vibecosystem swarm-optimization-patternsInstalls 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 vibeeval/vibecosystem --skill swarm-optimization-patterns -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/swarm-optimization-patterns .github/skills/swarm-optimization-patterns && 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 "swarm-optimization-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/swarm-optimization-patterns into .github/skills/swarm-optimization-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-optimization-patterns", 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 vibeeval/vibecosystem --skill swarm-optimization-patterns -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vibeeval/vibecosystem swarm-optimization-patterns --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/swarm-optimization-patterns .opencode/skills/swarm-optimization-patterns && 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 "swarm-optimization-patterns" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/swarm-optimization-patterns into .opencode/skills/swarm-optimization-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "swarm-optimization-patterns", 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.
Facts
- Skill name
swarm-optimization-patterns- GitHub stars
- 531
- Token cost
- ~797 tokens
- SKILL.md length
- 129 words
- Files
- 1
- Skills in repo
- 144
- Repo updated
- First seen
- Licence
- MIT
At a glance
Multi-agent coordination, critical path method, dependency DAG, and agent allocation optimization
- Agent Workflows work in your project
- SKILL.md covers Critical Path Method (CPM), Dependency DAG Construction, Agent Allocation Strategy and Bottleneck Detection, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Swarm Optimization Patterns is an agent skill from vibeeval/vibecosystem. Multi-agent coordination, critical path method, dependency DAG, and agent allocation optimization
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. The repository describes itself as: AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution. The licence is MIT.
When your agent uses it
- Agent Workflows work in your project
Example prompts
- “/swarm-optimization-patterns”
What it can do on your machine
Read from SKILL.md and the folder at commit 3b763b1. 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 and markdown).
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
Swarm Optimization Patterns loads about 797 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 129 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.
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 vibeeval/vibecosystem at commit 3b763b1, republished under its MIT licence (© vibeeval). 129 words, ~797 tokens.
Download SKILL.mdSave it as
.claude/skills/swarm-optimization-patterns/SKILL.md (or your agent's skills folder).- name
- swarm-optimization-patterns
- description
- Multi-agent coordination, critical path method, dependency DAG, and agent allocation optimization
Swarm Optimization Patterns
Critical Path Method (CPM)
Task A (3min) ─┐
├── Task D (5min) ── Task F (2min)
Task B (2min) ─┘ │
└── Task E (3min) ── Task G (1min)
Task C (4min) ─────────────────────────────── Task H (2min)
Critical Path: C → H = 6min (longest path)
Zero-slack: C, H (gecikme tüm timeline'ı etkiler)Dependency DAG Construction
interface TaskNode {
id: string
agent: string
estimatedMinutes: number
dependencies: string[] // task IDs
priority: 'critical' | 'high' | 'medium' | 'low'
}
// Topological sort ile execution order
function buildExecutionPlan(tasks: TaskNode[]): TaskNode[][] {
const layers: TaskNode[][] = []
const completed = new Set<string>()
while (completed.size < tasks.length) {
const ready = tasks.filter(t =>
!completed.has(t.id) &&
t.dependencies.every(d => completed.has(d))
)
layers.push(ready) // Bu layer paralel çalışabilir
ready.forEach(t => completed.add(t.id))
}
return layers
}Agent Allocation Strategy
| Strateji | Ne Zaman | Nasıl |
|---|---|---|
| Specialization | Uzman agent var | Task → matching agent |
| Load Balancing | Eşit workload | Round-robin + capacity |
| Priority-Based | Critical path | Zero-slack task'lara öncelik |
| Affinity | Context reuse | Aynı dosyaları kullanan task'lar aynı agent'a |
Bottleneck Detection
## Bottleneck Tipleri
| Tip | Tespit | Çözüm |
|-----|--------|-------|
| Resource Contention | Aynı dosya birden fazla agent | Sıralı execute veya lock |
| QA Queue | Review bekleyen task yığılması | Paralel reviewer |
| Dependency Chain | Uzun sıralı bağımlılık | Task decomposition |
| Agent Failure | Tekrarlayan fail | Fallback agent, reassign |Parallel Execution Rules
BAĞIMSIZ task'lar → PARALEL
- Farklı dosyalarda çalışan
- Birbirine bağımlı olmayan
- Farklı concern'ler (frontend + backend)
BAĞIMLI task'lar → SIRALI
- Aynı dosyada çalışan
- Output → Input ilişkisi olan
- Schema → Code → Test zinciriPhase Transition Criteria
| Phase | Geçiş Kriteri |
|---|---|
| Keşif → Geliştirme | Plan onaylandı, task'lar tanımlı |
| Geliştirme → Review | Tüm task'lar QA'den geçti |
| Review → Düzeltme | Review feedback var |
| Düzeltme → Final | Tüm feedback resolved |
Amdahl's Law
Speedup = 1 / ((1-P) + P/N)
P = parallelizable fraction
N = number of agents
Örnek: %80 parallel, 5 agent
Speedup = 1 / (0.2 + 0.8/5) = 1/0.36 = 2.78xChecklist
- Dependency DAG oluşturulmuş
- Critical path tespit edilmiş
- Paralel task'lar paralel assign
- Bottleneck detection aktif
- Agent-task affinity uygun
- Phase transition kriterleri tanımlı
- Fallback agent'lar belirlenmiş
Anti-Patterns
- Tüm task'ları sıralı çalıştırma
- Bağımlı task'ları paralel çalıştırma (conflict)
- Her task'a ayrı agent (overhead)
- Critical path'i optimize etmemek
- Agent fail sonrası retry etmemek
© vibeeval, MIT. 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 skills/swarm-optimization-patterns of vibeeval/vibecosystem.
Open the folder on GitHubat commit 3b763b1
Compare with similar skills
Swarm Optimization Patterns 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 |
|---|---|---|---|---|---|---|
| Swarm Optimization Patterns this skillvibeeval/vibecosystem | 531 | — | ~797 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 37k | 11 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 34 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 37k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
- Official
Hook Development for Claude Code Plugins
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
Using Superpowers
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
- Official
Claude Code Agent Development
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
- Official
Skill Creator
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
More from vibeeval/vibecosystem
All 144 skills in this repoAgent Benchmark
vibeeval/vibecosystem
Framework for measuring and tracking agent response quality over time.
Differential Review
vibeeval/vibecosystem
Security-focused differential code review with blast radius analysis, risk-adaptive depth (DEEP/FOCUSED/SURGICAL), git history correlation, and structured finding format.
Factcheck Guard
vibeeval/vibecosystem
A skill your agent uses when making any factual claim about the codebase — existence, absence, or behavior.
Fp Check
vibeeval/vibecosystem
Systematic false positive verification for security findings.
N8n Workflows
vibeeval/vibecosystem
n8n otomasyon workflow'lari. An agent skill from vibeeval/vibecosystem.
Notepad System
vibeeval/vibecosystem
A skill your agent uses when context compression is imminent, when resuming a session, or when preserving critical decisions across long tasks.
Related
Categories
Questions about Swarm Optimization Patterns
What does Swarm Optimization Patterns do?
Multi-agent coordination, critical path method, dependency DAG, and agent allocation optimization. Swarm Optimization Patterns is an agent skill from vibeeval/vibecosystem.
When should I use Swarm Optimization Patterns?
Swarm Optimization Patterns fits situations like: agent Workflows work in your project.
How do I install Swarm Optimization Patterns in Claude Code?
Run `npx skills add vibeeval/vibecosystem --skill swarm-optimization-patterns -a claude-code`. Or copy the skill folder (skills/swarm-optimization-patterns in vibeeval/vibecosystem) into .claude/skills/swarm-optimization-patterns in your project. Claude Code loads it when a task matches its description.
How do I install Swarm Optimization Patterns in Codex?
Run `npx skills add vibeeval/vibecosystem --skill swarm-optimization-patterns -a codex`. Or copy the skill folder (skills/swarm-optimization-patterns in vibeeval/vibecosystem) into .agents/skills/swarm-optimization-patterns in your project. Codex loads it when a task matches its description.
Can I use Swarm Optimization Patterns 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 vibeeval/vibecosystem --skill swarm-optimization-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/swarm-optimization-patterns, .gemini/skills/swarm-optimization-patterns, .github/skills/swarm-optimization-patterns and .opencode/skills/swarm-optimization-patterns in your project.
What does Swarm Optimization Patterns need to run?
SKILL.md names no scripts, command-line tools or credentials: Swarm Optimization Patterns is instructions for the agent only.
Does Swarm Optimization Patterns 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 Swarm Optimization Patterns 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 Swarm Optimization Patterns use?
Swarm Optimization Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Swarm Optimization Patterns use?
About 797 tokens (SKILL.md is roughly 3.2k 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 Swarm Optimization Patterns?
Skills that share tags, products or a category with Swarm Optimization Patterns: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Swarm Optimization Patterns?
vibeeval (a GitHub user) maintains it in vibeeval/vibecosystem, which has 531 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on August 8, 2026.
Source: vibeeval/vibecosystem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.