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|[meta.agent.js](./meta.agent.js)| Applies front matter, badges, human references, quirky footers | ✅ Active | - |
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|[meta.agent.js](./meta.agent.js)| Applies front matter, badges, quirky footers| ✅ Active | - |
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|[badges.agent.js](./badges.agent.js)| Manages repository badges and automation status indicators | ❌ Deprecated | - |
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|[header-footer.agent.js](./header-footer.agent.js)| Maintains consistent headers and footers across documentation | ❌ Deprecated | - |
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|[issue-type.agent.js](./issue-type.agent.js)| Automatically assigns issue types based on content analysis | ✅ Active |[✅ Tests](../../scripts/agents/__tests__/issue-type.agent.test.js)|
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|**[labeling.yml](../workflows/labeling.yml)**|`push`, `pull_request`, `issues` events |`labeling.agent.js`| Unified labeling for issues and PRs with status enforcement |
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|**[reviewer.yml](../workflows/reviewer.yml)**|`push`, `pull_request` on `develop`|`reviewer.agent.js`| Automated code review and feedback |
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name: ADR Generator
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description: Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.
guardrails: "Only draft ADRs when the decision context is complete, do not revise existing ADR numbers without approval, and preserve the published template."
guardrails: "Only apply types/labels from canonical configs. Never overwrite without warning. Validate all content. Log all actions. Preserve user data integrity."
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name: "Labeling"
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description: "Unified agent for dynamic, canonical, and automated labeling of issues and PRs. Handles status, type, priority, and project-field enforcement, label standardization, and migration based on .github/labels.yml."
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name: "Linting"
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description: "Enforces code quality and linting standards across all supported languages and file types. Validates JavaScript/TypeScript, CSS/SCSS, HTML, JSON, Markdown, YAML, PHP, Python, and Shell scripts against canonical standards."
guardrails: "Reference canonical config files only (.eslintrc.json, stylelint.json, etc). Never bypass failing linting checks. Log all linting actions and results. Provide clear, actionable error messages."
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---
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name: "Meta"
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description: "Agent for applying documentation metadata in Markdown files: front matter validation/enrichment, badges, human references, and category-specific footers."
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description: "Agent for applying documentation metadata in Markdown files: front matter validation/enrichment, badges, and category-specific footers."
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target: "github-copilot"
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tools: ["read", "edit", "search", "shell"]
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handoffs:
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- label: "Validate Meta Application"
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agent: "doc-validator"
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prompt: "Validate that all metadata blocks (front matter, badges, human references, footers) have been correctly applied to the documentation."
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prompt: "Validate that all metadata blocks (front matter, badges, footers) have been correctly applied to the documentation."
Automate the application of documentation metadata to Markdown files (front matter, badges, human references, and category-specific quirky footers) using a unified schema-driven config.
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Automate the application of documentation metadata to Markdown files (front matter, badges, and category-specific quirky footers) using a unified schema-driven config.
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## Triggers
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## Inputs/Outputs
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-**Input:** File path, metadata config, schema
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-**Output:** Updated doc with validated front matter, badge block, human references, and category-specific footer
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-**Output:** Updated doc with validated front matter, badge block, and category-specific footer
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name: "Metrics"
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description: "Automates collection, aggregation, and reporting of repository health metrics including issue/PR activity, response times, and project health indicators. Generates actionable insights and trend analysis."
guardrails: "Do not expose sensitive data or credentials in metrics. Log all collection runs. Support multi-repository aggregation. Validate data before reporting."
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"runSubagent",
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]
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model: Claude Sonnet 4.5 (copilot)
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metadata:
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guardrails: "Complete the mandatory analysis, compute the Documentation Wrapper Score before responding, and never skip the editorial standards described in the spec."
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---
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Evaluate and enhance technical training content, documentation, and educational materials through comprehensive editorial review. Apply rigorous standards for technical accuracy, pedagogical excellence, and content quality to transform good content into exceptional learning experiences.
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"get_issue",
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"search_issues",
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]
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metadata:
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guardrails: "Ask clarifying questions first, confirm scope before drafting any PRD, only create docs with user approval, and never write issues without explicit consent."
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