Karan Manoharan

Agent skill for challenges - invoke with $agent-challenges

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Agent skill for code-analyzer - invoke with $agent-code-analyzer

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Agent skill for code-goal-planner - invoke with $agent-code-goal-planner

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Agent skill for code-review-swarm - invoke with $agent-code-review-swarm

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Agent skill for coder - invoke with $agent-coder

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Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator

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Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator

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Audit a repo's agent context — CLAUDE.md files, codebase docs, skills, and tool/MCP designs — against Anthropic's Claude 5 context-engineering guidance ("unhobbling": Anthropic cut ~80% of Claude Code's system prompt with no eval loss). Finds overconstraint, conflicting instructions, redundancy, stale facts, and missing "unknown knowns"; produces a scored findings report with concrete rewrites, then applies approved fixes. Use when someone says "audit my CLAUDE.md", "context audit", "unhobble this repo", "review our agent docs/skills/tools", or after upgrading to Claude 5-generation models.

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Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.

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Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init

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Use when developing in packages/agent-core-v2 (the DI × Scope agent engine) — adding or modifying a domain Service, choosing a LifecycleScope, wiring DI dependencies, splitting a domain across scopes, owning or migrating a config section, gating behavior behind an experimental flag, raising coded errors, working on the permission system, writing DI/Scope tests, porting business logic from agent-core (v1) to v2, triaging a main-branch commit against v2, or exposing a v2 domain over server-v2 while keeping the /api/v1 wire contract compatible with released clients. Self-contained guide organized by development stage (orient → design → implement → test → verify) plus align workflows for v1→v2 migration, main-branch commit triage, and server-v2 wire exposure; each file carries the rules, examples, and red lines for its step.

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Use ONLY for code review and test write/review guidance in `packages/agent-core-v2` (the DI × Scope agent engine). Does NOT apply to the legacy `packages/agent-core` or to any other package — for those, do not load this skill. Groups the review and testing lenses used for agent-core-v2 — `slop` (single-level-of-abstraction / layered error-handling review, invoked only on explicit request) and `test` (contract-driven per-test rules for both authoring and reviewing tests). Apply the sub-skill that matches the task; do not apply `slop` unprompted.

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Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer

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Agent skill for data-ml-model - invoke with $agent-data-ml-model

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Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.

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Agent skill for dev-backend-api - invoke with $agent-dev-backend-api

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Agent skill for docs-api-openapi - invoke with $agent-docs-api-openapi

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A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.

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Agent skill for github-modes - invoke with $agent-github-modes

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Agent skill for github-pr-manager - invoke with $agent-github-pr-manager

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Agent skill for goal-planner - invoke with $agent-goal-planner

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Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator

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Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)

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Agent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-coder

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