0fc6717542
New issue-intelligence-analyst agent that fetches GitHub issues via gh CLI, clusters by root-cause themes, and returns structured analysis with trend direction, confidence scores, and source mix. Designed for both ce:ideate integration and standalone use. Agent design: - Priority-aware fetching with label scanning for focus targeting - Truncated bodies (500 chars) in initial fetch to avoid N+1 calls - Single gh call per fetch, no pipes or scripts (avoids permission spam) - Built-in --jq for all field extraction and filtering - Mandatory structured output with self-check checklist - Accurate counts from actual data, not assumptions - Closed issues as recurrence signal only, not standalone evidence ce:ideate gains: - Issue-tracker intent detection in Phase 0.2 - Conditional agent dispatch in Phase 1 (parallel with existing scans) - Dynamic frame derivation from issue clusters in Phase 2 - Hybrid strategy: cluster-derived frames + default padding when < 4 - Resume awareness distinguishing issue vs non-issue ideation - Numbered table format for rejection summary in ideation artifacts
34 lines
905 B
JSON
34 lines
905 B
JSON
{
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"name": "compound-engineering",
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"version": "2.40.0",
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"description": "AI-powered development tools. 29 agents, 47 skills, 1 MCP server for code review, research, design, and workflow automation.",
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"author": {
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"name": "Kieran Klaassen",
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"email": "kieran@every.to",
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"url": "https://github.com/kieranklaassen"
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},
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"homepage": "https://every.to/source-code/my-ai-had-already-fixed-the-code-before-i-saw-it",
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"repository": "https://github.com/EveryInc/compound-engineering-plugin",
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"license": "MIT",
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"keywords": [
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"ai-powered",
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"compound-engineering",
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"workflow-automation",
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"code-review",
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"rails",
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"ruby",
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"python",
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"typescript",
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"knowledge-management",
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"image-generation",
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"agent-browser",
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"browser-automation"
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],
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"mcpServers": {
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"context7": {
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"type": "http",
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"url": "https://mcp.context7.com/mcp"
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}
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}
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}
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