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ComposioHQ/awesome-claude-skills
Connect Claude to any app. An agent skill from ComposioHQ/awesome-claude-skills.
Implement Louvain community detection to discover densely connected groups in networks.
MITAuto-check passed
Install Algo Net Community
$ npx skills add asgard-ai-platform/skills --skill algo-net-community -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-community --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/algo-net-community .claude/skills/algo-net-community && 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 "algo-net-community" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-community into .claude/skills/algo-net-community/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-community", 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/asgard-ai-platform/skills/tree/main/algo-net-communityType 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 asgard-ai-platform/skills --skill algo-net-community -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-community --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/algo-net-community .agents/skills/algo-net-community && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algo-net-community" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-community into .agents/skills/algo-net-community/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-community", 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 asgard-ai-platform/skills --skill algo-net-community -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-community --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/algo-net-community .cursor/skills/algo-net-community && 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 "algo-net-community" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-community into .cursor/skills/algo-net-community/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-community", 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/asgard-ai-platform/skills.git --path algo-net-community--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 asgard-ai-platform/skills --skill algo-net-community -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-community --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/algo-net-community .gemini/skills/algo-net-community && 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 "algo-net-community" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-community into .gemini/skills/algo-net-community/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-community", 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 asgard-ai-platform/skills algo-net-communityInstalls 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 asgard-ai-platform/skills --skill algo-net-community -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/algo-net-community .github/skills/algo-net-community && 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 "algo-net-community" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-community into .github/skills/algo-net-community/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-community", 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 asgard-ai-platform/skills --skill algo-net-community -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills algo-net-community --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/algo-net-community .opencode/skills/algo-net-community && 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 "algo-net-community" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-net-community into .opencode/skills/algo-net-community/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-net-community", 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
algo-net-community- GitHub stars
- 242
- Token cost
- ~1.1k tokens
- SKILL.md length
- 411 words
- Files
- 4 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Implement Louvain community detection to discover densely connected groups in networks.
- Works in 4 steps: Input Validation → Core Algorithm → Verification → …
- The user needs to find communities
- SKILL.md covers Overview, When to Use, Algorithm and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Algo Net Community is an agent skill from asgard-ai-platform/skills. Implement Louvain community detection to discover densely connected groups in networks. Use this skill when the user needs to find communities or clusters in social/organizational networks, segment customers by interaction patterns, or analyze network modular structure — even if they say 'find groups in this network', 'community detection', or 'network clustering'.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/leiden.md` and `references/multi-resolution.md`).
The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to find communities
- Clusters in social/organizational networks
- Segment customers by interaction patterns
- Analyze network modular structure — even if they say find groups in this network
Example prompts
- “find groups in this network”
- “community detection”
- “network clustering”
- “/algo-net-community”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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 json).
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
Algo Net Community loads about 1.1k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 411 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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 411 words, ~1,131 tokens.
Download SKILL.mdSave it as
.claude/skills/algo-net-community/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- algo-net-community
- description
- Implement Louvain community detection to discover densely connected groups in networks. Use this skill when the user needs to find communities or clusters in social/organizational networks, segment customers by interaction patterns, or analyze network modular structure — even if they say 'find groups in this network', 'community detection', or 'network clustering'.
- metadata.category
- WP-46 網絡演算法
- metadata.tags
- network, community-detection, louvain, modularity
Louvain Community Detection
Overview
Louvain algorithm detects communities by optimizing modularity — the fraction of edges within communities minus expected fraction if edges were random. A greedy, hierarchical algorithm that runs in O(n log n) for sparse graphs. Produces a hierarchy of communities at multiple resolutions.
When to Use
Trigger conditions:
- Discovering natural groupings in social, organizational, or interaction networks
- Segmenting users/customers by behavioral similarity
- Analyzing modular structure of complex networks
When NOT to use:
- For overlapping communities (use DEMON or BigCLAM)
- When communities are pre-defined and you're classifying nodes (use label propagation)
Algorithm
IRON LAW: Modularity Has a RESOLUTION LIMIT
Louvain optimizes modularity, which has a known resolution limit
(Fortunato & Barthélemy, 2007): it cannot detect communities smaller
than √(2E) where E = total edges. In large networks, small but real
communities may be merged. Use multi-resolution methods or Leiden
algorithm (improved Louvain) for better results.Phase 1: Input Validation
Build undirected weighted graph from interaction data. Edge weights represent interaction strength (frequency, duration, volume). Gate: Graph loaded, no isolated nodes (or decide how to handle them).
Phase 2: Core Algorithm
Phase 1 — Local moves:
- Assign each node to its own community
- For each node, compute modularity gain of moving to each neighbor's community
- Move node to community with maximum positive gain
- Repeat until no beneficial moves remain
Phase 2 — Aggregation: 5. Build new graph where nodes = communities, edges = sum of inter-community edges 6. Repeat Phase 1 on the aggregated graph 7. Continue until modularity stops improving
Phase 3: Verification
Check: modularity Q > 0 (non-trivial partitioning), community sizes are reasonable (not one giant + many singletons), manual inspection of sample communities. Gate: Modularity positive, community sizes follow power-law-like distribution.
Phase 4: Output
Return community assignments with modularity score.
Output Format
{
"communities": [{"id": 0, "size": 45, "top_members": ["Alice", "Bob"], "internal_density": 0.35}],
"summary": {"num_communities": 12, "modularity": 0.65, "largest": 120, "smallest": 5},
"metadata": {"algorithm": "louvain", "nodes": 500, "edges": 2000}
}Examples
Show full SKILL.md (170 more words)Show less
Sample I/O
Input: Email network of 200 employees, weighted by email frequency Expected: Communities roughly corresponding to departments/teams, modularity ~0.5-0.7.
Edge Cases
| Input | Expected | Why |
|---|---|---|
| Complete graph | One community or random split | No modular structure |
| Disconnected components | Each component = community | Natural separation |
| Weighted vs unweighted | Different communities | Weights change modularity calculation |
Gotchas
- Non-deterministic: Node processing order affects results. Run multiple times and select the partition with highest modularity, or use Leiden algorithm (more stable).
- Resolution parameter: Standard Louvain uses γ=1 in modularity. Varying γ reveals communities at different scales. γ>1 finds smaller communities; γ<1 finds larger ones.
- Leiden > Louvain: Louvain can produce badly connected communities (communities where removing one node disconnects them). Leiden algorithm fixes this guarantee.
- Temporal stability: In dynamic networks, community assignments can change drastically between snapshots even when the network changes minimally. Use temporal smoothing.
- Interpretation: Community detection finds structure, but interpreting WHY nodes cluster requires domain knowledge. Don't over-interpret automatically detected communities.
References
- For Leiden algorithm (improved Louvain), see
references/leiden.md - For multi-resolution community detection, see
references/multi-resolution.md
© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in algo-net-community of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/leiden.md
- references/multi-resolution.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Algo Net Community 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 |
|---|---|---|---|---|---|---|
| Algo Net Community this skillasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| ConnectComposioHQ/awesome-claude-skills | 77k | 3 repos | ~987 | Automated safety check: Pass | None | |
| Node Connectopenclaw/openclaw | 392k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Graham Net Netquestflowai/investorskills | 1.9k | — | ~478 | Automated safety check: Pass | MIT | |
| Threat Detectionalirezarezvani/claude-skills | 28k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Resemble Detectgithub/awesome-copilot | 40k | 3 repos | ~4.1k | Automated safety check: Pass | Apache-2.0 |
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Questions about Algo Net Community
What does Algo Net Community do?
Implement Louvain community detection to discover densely connected groups in networks. Algo Net Community is an agent skill from asgard-ai-platform/skills. Implement Louvain community detection to discover densely connected groups in networks.
When should I use Algo Net Community?
Algo Net Community fits situations like: the user needs to find communities; clusters in social/organizational networks; segment customers by interaction patterns; analyze network modular structure — even if they say find groups in this network.
How do I install Algo Net Community in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill algo-net-community -a claude-code`. Or copy the skill folder (algo-net-community in asgard-ai-platform/skills) into .claude/skills/algo-net-community in your project. Claude Code loads it when a task matches its description.
How do I install Algo Net Community in Codex?
Run `npx skills add asgard-ai-platform/skills --skill algo-net-community -a codex`. Or copy the skill folder (algo-net-community in asgard-ai-platform/skills) into .agents/skills/algo-net-community in your project. Codex loads it when a task matches its description.
Can I use Algo Net Community 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 asgard-ai-platform/skills --skill algo-net-community -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algo-net-community, .gemini/skills/algo-net-community, .github/skills/algo-net-community and .opencode/skills/algo-net-community in your project.
What does Algo Net Community need to run?
SKILL.md names no scripts, command-line tools or credentials: Algo Net Community is instructions for the agent only.
Does Algo Net Community 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 Algo Net Community 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 Algo Net Community use?
Algo Net Community 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 Algo Net Community use?
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.9k tokens, read only when the agent opens those files.
What are the alternatives to Algo Net Community?
Skills that share tags, products or a category with Algo Net Community: Connect (ComposioHQ/awesome-claude-skills, 77k stars), Node Connect (openclaw/openclaw, 392k stars), Graham Net Net (questflowai/investorskills, 1.9k stars) and Threat Detection (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Algo Net Community?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.