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Recommends which framework agent (or multi-agent workflow) should handle a task; use when the user asks which agent to use, how to delegate a piece of work, or how to sequence agents for a multi-domain task.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Verify the framework's toolchain (git, bash, jq, gh, yq, PowerShell 7+, Node.js/npx, uv/uvx, shellcheck, Claude Code CLI) is installed and working โ use when setting up the framework, after system updates, or when hooks, validators, MCP servers, or the executor agents fail with "command not found".
Guide for adding a new real Claude Code hook to this framework as a .ps1/.sh pair (registration in hooks/hooks.json as a shell-form chain, tests in both suites, validation) โ use when asked to create, generate, or extend a hook or quality gate.
Diagnose and fix agent routing, loading, and configuration issues by inspecting agents/*.md frontmatter, the claude.json registry, hook registration, and validator output โ use when an agent is "not found", tasks route to the wrong specialist, models mismatch, hooks do not fire, or validate-consistency.sh fails.
Git branching, commit, PR, conflict-resolution, and release guidance integrated with the framework's peer-review final gate โ use when planning branches, writing commit messages, preparing or opening PRs, resolving merge conflicts, cutting releases, or when the Stop gate blocks a session over unreviewed committed work.
Iteratively improve a code change by having the matching specialist agent score the diff 0-100 against an explicit rubric, rewriting the weakest parts, and repeating until the score plateaus. Use after the quality bar is green (build/lint/format/tests clean) but before the review gates โ e.g. polishing an implementation or refactor, or when asked to "clean up" code without concrete criteria. Code-side sibling of self-scoring-loop.
Iteratively improve a non-code deliverable (spec, plan, document, design) by writing an explicit rubric, scoring the work 0-100 against it, rewriting the weakest parts, and repeating until the score plateaus. Use when a deliverable has a quality bar but no test suite โ e.g. before handing over a spec, proposal, architecture doc, or report.
Based on SOC occupation classification
| name | agent-routing-advisor |
| description | Recommends which framework agent (or multi-agent workflow) should handle a task; use when the user asks which agent to use, how to delegate a piece of work, or how to sequence agents for a multi-domain task. |
Analyze a task and recommend the right agent(s) from this framework's roster, plus a delegation prompt and workflow sequence. Recommendations must reflect the registry (claude.json), never memory or legacy docs.
.sub_agents; each agent's definition is agents/<name>.md; canonical categories are in .agent_categories.| Category | Agents | Route here when |
|---|---|---|
| language_experts | rust-expert, csharp-expert, go-expert, java-expert, python-expert, typescript-expert, mql-trading-dev | Implementation in a specific language/stack, including backend/API work |
| automation_experts | bash-expert, powershell-expert | Long, output-heavy shell runs (selective policy โ short commands run inline), shell scripting, OS automation |
| domain_specialists | database-specialist, frontend-specialist, security-specialist, uiux-specialist | Schema/query work, UI components, security audits, UX/accessibility |
| infrastructure_operations | devops-orchestrator | CI/CD, containers, IaC, deployment |
| architecture_planning | system-architect, product-owner | System design, technical decisions; requirements, user stories |
| quality_analysis | comprehensive-analyst, code-review-gatekeeper, peer-review-critic | Investigation/profiling; code review; final diff-scoped peer review |
| documentation | technical-docs-writer | Guides, API docs, developer documentation |
Match dominant signals in the task description:
Decision order: (0) the task is purely running/summarizing commands โ bash-expert or powershell-expert; (1) single language implementation โ that language expert; (2) clearly one specialized domain โ that specialist; (3) spans domains โ multi-agent workflow; (4) ambiguous or investigative โ comprehensive-analyst first.
Every workflow that produces or changes code ends with, in this order:
Never place peer-review-critic mid-workflow, and never end a coding workflow without it.
Feature development product-owner (stories, acceptance criteria) โ system-architect (design) โ [language expert] (implementation + tests) โ technical-docs-writer (docs) โ code-review-gatekeeper โ peer-review-critic
Security-critical feature security-specialist (requirements, threat model) โ [language expert] (secure implementation) โ security-specialist (audit) โ code-review-gatekeeper โ peer-review-critic
Full-stack feature system-architect (design) โ database-specialist (schema, migrations) โ [language expert] (API/backend) โ frontend-specialist (UI) โ uiux-specialist (UX/accessibility validation) โ code-review-gatekeeper โ peer-review-critic
Performance optimization comprehensive-analyst (profile, identify bottlenecks) โ [language expert] (optimizations) โ comprehensive-analyst (verify improvement) โ code-review-gatekeeper โ peer-review-critic
Skip phases that don't apply (e.g., no database-specialist if no schema change), but never skip the two closing review gates when code changed.
If the task is underspecified (e.g., "optimize performance", "improve the app"):
When handing the recommendation to /agentic-framework:delegate or a Task invocation, structure the prompt as:
Present each recommendation as:
Do not include invented time estimates, pass rates, or cost figures โ only what can be derived from the task and the registry.