Agentic engineering katas: proven prompt/loop/tooling patterns from JM Labs. Topics: adaptive-investigation, builtin-tool-selection, confidence-stratified-sampling, context-dilution-mitigation, critical-self-correction, custom-commands-skills, defensive-structured-extraction, deterministic-agent-loop, false-positive-criteria, fewshot-edge-calibration, headless-code-review, hierarchical-claude-memory, hub-and-spoke-isolation, human-handoff-protocol, independent-reviewer-multipass, mcp-server-configuration, mcp-structured-errors, message-batch-processing, multiagent-error-propagation, multipass-prompt-chaining, path-conditional-rules, persistent-scratchpad, plan-mode-exploration, posttooluse-normalization, prefix-caching, pretooluse-guardrails, provenance-preservation, session-resume-fork, tool-description-quality, validation-retry-feedback.
Router skill: one entry, 30 agentic-engineering playbooks. Resolve topic, Read
EXACTLY ONE playbook from routes:, apply it. [DOC]
Trigger when the request maps to a known agentic pattern — building a Claude
agent loop, MCP server, hook, structured extraction, code-review harness, memory
hierarchy, multi-agent topology, or prompt/sampling/context tactic — and you want
the proven JM Labs recipe instead of improvising. [INFERENCIA]
Do NOT use as a generic chat or to answer questions that no playbook covers; if
no topic fits, say so and route the user elsewhere rather than guessing. [DOC]
topic (required): one of the 30 routes: keys. Infer from the request; ask
only when two topics are genuinely plausible. [DOC]depth (default quick): quick → essentials + the validation gate only;
deep → apply exhaustively, verifying at each step. [DOC]topic. If ambiguous, present the 2 closest keys and ask. [DOC]routes: path). Never load the whole
cluster — that dilutes context and defeats hub-and-spoke isolation. [INFERENCIA]../../references/verification-tags.md — never mix tag families. [DOC]assets/quality-rubric.json and run assets/routing-checklist.md
before declaring done (see assets/README.md). [DOC]topic silently when the request is ambiguous. [DOC]quick depth but skipping the validation gate. [DOC]If mid-task the evidence contradicts the chosen topic (wrong failure mode, the
playbook's preconditions don't hold), STOP, name the mismatch, and re-resolve
topic — do not force-fit the original playbook. [INFERENCIA]
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.