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unoplat-code-confluence

Skill Productivity Poor
Works inClaude Code
Poor Scanned — metadata only

Maintains a live context layer (Agents.md) in your repo that AI agents can reference, reducing context setup time and enabling agents to understand codebase …

Always keep your codebases ready for Agents. Improve any coding workflow by atleast 2x by maintaing a live, pluggable context layer per repo that creates and maintains Agents.md

95 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Maintains a live context layer (Agents.md) in your repo that AI agents can reference, reducing context setup time and enabling agents to understand codebase structure without repeated scaffolding.

Teams using Claude or other AI agents for code generation, refactoring, or analysis who want to eliminate repetitive codebase context injection across requests.

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https://github.com/unoplat/unoplat-code-confluence

By unoplat

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install unoplat/unoplat-code-confluence

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me auto-generate Agents.md to give Claude instant codebase architecture context
CostFree

Trust Signals Auto-scanned

Stars95Contributors7Last updated2026-08-05Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 89 GitHub stars; contributors unknown; last commit 7d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 89 GitHub stars; contributors unknown; last commit 7d ago; license no license.

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