Agent-Skills.md

Agent Skills: Agentic Patterns

Select and wire an agentic design pattern (reflection, prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, ReAct, blackboard) into the 5-layer Claude Code stack. Use this skill whenever deciding how to structure a multi-step task, whether to spawn subagents, how to run parallel review, or when to use which pattern. Triggers on: "which pattern", "orchestrate", "parallel review", "self-review", "chain of thought", "eval-optimizer loop", "blackboard", "ReAct", "how to decompose this task".

UncategorizedID: lobbi-docs/claude/cc-agentic-patterns

Repository

lobbi-docs/claude
TheLobbiLicense: MIT
213

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pnpm dlx add-skill https://github.com/TheLobbi/claude/tree/HEAD/plugins/claude-code-expert/skills/cc-agentic-patterns

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plugins/claude-code-expert/skills/cc-agentic-patterns/SKILL.md

Skill Metadata

Name
cc-agentic-patterns
Description
Select and wire an agentic design pattern (reflection, prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, ReAct, blackboard) into the 5-layer Claude Code stack. Use this skill whenever deciding how to structure a multi-step task, whether to spawn subagents, how to run parallel review, or when to use which pattern. Triggers on: "which pattern", "orchestrate", "parallel review", "self-review", "chain of thought", "eval-optimizer loop", "blackboard", "ReAct", "how to decompose this task".

Agentic Patterns

13 patterns from Anthropic's workflow/agent taxonomy + Andrew Ng's four foundational patterns. This skill is the router; templates live in MCP cc_kb_pattern_template(name) and the pattern-router agent picks for you.

Choose by task shape

How many distinct phases?
│
├─ 1 (single generation) ──────────────► REFLECTION
│
├─ 2-4 (sequential, each uses prior) ──► PROMPT CHAINING
│
├─ 2-4 (independent, same question) ───► PARALLELIZATION
│
├─ Branching on input type ────────────► ROUTING
│
├─ Quality must meet a rubric ─────────► EVALUATOR-OPTIMIZER
│
├─ Emergent subtasks, dynamic ─────────► ORCHESTRATOR-WORKERS
│
├─ Open debug / root-cause ────────────► ReAct (thought→action→observation)
│
├─ Multi-agent collaborative review ───► BLACKBOARD (council)
│
└─ Unsure? ────────────────────────────► use agents/cc-pattern-router

Pattern quick-reference

| Pattern | Cost | Best for | Template | |---|---|---|---| | Reflection | 1.1× | Default quality gate on single shots | cc_kb_pattern_template("reflection") | | Prompt chaining | 1.5–2× | Multi-phase features (analyze→plan→implement→verify) | cc_kb_pattern_template("prompt-chaining") | | Routing | 1× | Task-type decides the branch | cc_kb_pattern_template("routing") | | Parallelization | 1–3× | Independent parallel subtasks, fan-in synthesis | cc_kb_pattern_template("parallelization") | | Evaluator-optimizer | 1.5–3× | Quality-critical artifacts (configs, security code) | cc_kb_pattern_template("eval-optimizer") | | Orchestrator-workers | 2–5× | Large features where subtasks emerge during work | cc_kb_pattern_template("orchestrator-workers") | | ReAct | 1.2–2× | Open-ended debugging, exploration | cc_kb_pattern_template("react") | | Blackboard | 3–6× | Multi-agent collaborative review/synthesis | cc_kb_pattern_template("blackboard") |

Wiring patterns into the 5-layer stack

Each pattern deploys artifacts across layers. Example for reflection:

| Layer | Artifact | |---|---| | L1 — CLAUDE.md | Add rule: "Review your own output before presenting. Check for off-by-one errors, unhandled edge cases, and inconsistency with existing code patterns." | | L2 — Skill | None required — behavior driven from CLAUDE.md | | L3 — Hook | Optional: PostToolUse on Write|Edit that prompts self-verify | | L4 — Agent | agents/cc-audit-reviewer for explicit second-pass when risk is high | | L5 — Memory | Save rejection reasons to engram for learning |

Fetch a specific pattern's full wiring via cc_kb_pattern_template(name).

Pattern selection via router agent

When the task is ambiguous, launch pattern-router:

Agent({
  subagent_type: "pattern-router",
  prompt: "Task: {...}. Select the optimal agentic pattern with rationale."
})

Router returns: pattern name + 5-layer wiring + cost estimate + anti-patterns.

MCP delegation

| Need | Tool | |---|---| | Fetch pattern template | cc_kb_pattern_template(name) | | Decide orchestration cost cap | cc_docs_model_recommend(task, budget) | | Recommend topology for multi-agent | cc_docs_team_topology_recommend(task, complexity, team_size) |

Parallelization vs Blackboard — when each applies

Both fan out to multiple agents. The difference is whether agents read each other's work:

| | Parallelization | Blackboard | |---|---|---| | Agents see peers? | No — each gets only their scope | Yes — each reads the shared board before writing | | Subtasks | Fully independent | Overlapping; one agent's finding informs another | | Example | Run security + perf + test reviews simultaneously | Security agent flags an issue; architecture agent reads it and re-evaluates their finding | | Cost | 1–3× | 3–6× (extra rounds per agent) | | When to choose | Subtasks have zero shared state | Agents must build on each other's output (adversarial or consensus-building) |

If in doubt: start with parallelization. Upgrade to blackboard only when a second round of cross-agent reasoning is demonstrably necessary.

Anti-patterns

  • Using eval-optimizer for simple tasks → wasted loops, no quality gain.
  • Parallelization when subtasks share state → merge conflicts and hallucinated consistency.
  • Orchestrator-workers for fixed-scope work → supervisor overhead dominates.
  • ReAct with no stopping criterion → runs forever on fuzzy tasks.
  • Blackboard with fewer than 3 agents → not actually multi-agent; just a chain with extra steps.