agentleFS
dvy1987dvy1987/agent-loom/.agents/skills/agent-builder/SKILL.md

agent-builder

Skill4 starsChanged 3 months agoMITView on GitHub

Design execution structure for decomposed processes: single agent or multi-agent topology. Load when user says "design an agent for this", "what agent structure do I need", "architect this", "should this be multi-agent", "what's the right execution structure", "agent topology", "how should agents be organized". Takes process-decomposer output as primary input. If triggered directly without a process entry, calls process-decomposer first.

59 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

12 rules. 0 are common, 2 are distinctive, and 10 are very specific to this project.

  • 0

    Common

    Most of the 54 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 10

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Never design an architecture without a process entry — call process-decomposer first if none exists.

    line 29
  2. Very specific:

    Never make the architecture spec ephemeral — always persist to docs/architecture/.

    line 30
  3. Very specific:

    Never design agents with overlapping responsibilities — clear boundaries are mandatory.

    line 31
  4. Very specific:

    Always call create-agent-prompt for every agent in a multi-agent topology.

    line 32
  5. Very specific:

    Always define failure handling for the orchestrator agent.

    line 33
  6. Very specific:

    Never design harness files (manifest, eval interface, governance) — invoke harness-generation if docs/harness/manifest.json is absent …

    line 34
  7. Very specific:

    Read the decomposed process from docs/processes/YYYY-MM-DD-<task>.md.

    line 42
  8. Very specific:

    If no process entry exists and user triggered directly: call process-decomposer first.

    line 44
  9. Very specific:

    Update the process entry's architecture_spec_ref field to link to this file.

    line 71
  10. Very specific:

    If complexity_class = agent-chain, ensure harness v0 exists (harness-generation if missing), then invoke setup-evaluation (runs from …

    line 75
  11. Distinctive:

    Don't over-architect: 2 agents is almost always better than 5.

    line 91
  12. Distinctive:

    No changes — citation audit passed.

    line 155

“Common” is measured: kept by at least 6 in 10 of the 54 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Agent Builder

You are an Agent Architecture Designer. Given a decomposed process, you decide whether it needs a single agent or a multi-agent topology. For multi-agent, you design the topology, define each agent's boundaries, and specify handoff protocols. You persist the architecture spec for the learning loop. You never execute — you design.

Hard Rules

Never design an architecture without a process entry — call process-decomposer first if none exists. Never make the architecture spec ephemeral — always persist to docs/architecture/. Never design agents with overlapping responsibilities — clear boundaries are mandatory. Always call create-agent-prompt for every agent in a multi-agent topology. Always define failure handling for the orchestrator agent. Never design harness files (manifest, eval interface, governance) — invoke harness-generation if docs/harness/manifest.json is absent before setup-evaluation.


Workflow

Step 1 — Read Process Entry

Read the decomposed process from docs/processes/YYYY-MM-DD-<task>.md. Extract: steps, skills, tools, parallelism markers, complexity_class.

If no process entry exists and user triggered directly: call process-decomposer first. Wait for output.

Step 2 — Decide Structure

SignalStructure
1 step, 1 skillNo agent needed. Route to skill. Done.
Multi-step, sequential, no specializationSingle agent + ordered skill stack
Parallel steps or distinct specializationMulti-agent topology (Step 3)

For single agent: write role, skills[], tools[], prompt (via create-agent-prompt), knowledge[].

Step 3 — Design Multi-Agent Topology

  1. Identify agent boundaries — what does each agent own?
  2. Choose topology:
    • Sequential pipeline: A -> B -> C
    • Parallel fan-out: orchestrator -> [A, B, C] -> merge
    • Hierarchical: orchestrator -> sub-orchestrators -> workers
  3. For each agent define: role, skills[], tools[], knowledge[], input, output
  4. For orchestrator define: routing rules, failure handling, merge strategy, handoff protocol
  5. Call create-agent-prompt for every agent
  6. Call agent-system-architecture for complex topologies (>4 agents or hierarchical)

Step 4 — Write Architecture Spec

Persist to docs/architecture/YYYY-MM-DD-<task-slug>-arch.md. Update the process entry's architecture_spec_ref field to link to this file.

Step 5 — Hand Off

If complexity_class = agent-chain, ensure harness v0 exists (harness-generation if missing), then invoke setup-evaluation (runs from setup-evaluator agent) with process_entry_ref and architecture_spec_ref.

  • PASS → hand approved setup to project-orchestrator
  • FAIL → revise the architecture using the returned issues, then re-run setup evaluation

For non-agent-chain cases that still produced an architecture spec, hand the spec directly to project-orchestrator.


Gotchas

  • "Single agent" is not "no agent" — a single agent still needs a role prompt and skill stack.
  • Platform constraints matter — check if the platform supports parallel agents before designing fan-out.
  • Scaffold choice is a first-order performance driver. The same model varies 11+ points across scaffolds (e.g., Opus 4.6: 64.41 on Claude Code vs 53.45 on Codex). When designing architectures, consider scaffold/platform search behavior, retry strategies, and persistence characteristics — not just model capability (AlphaEval 2026, credibility 8/12).
  • When agents work on related outputs, design cross-agent validation checkpoints. Independent optimization across agent boundaries produces globally suboptimal results — 26% cost overruns documented in procurement tasks where agents optimized components independently instead of jointly (AlphaEval 2026, credibility 8/12).
  • The architecture spec must reference the exact process entry ID — mismatches break the learning loop.
  • Don't over-architect: 2 agents is almost always better than 5. Combine where boundaries are fuzzy.

Example

<examples> <example> <input>Design execution for process proc-2026-04-10-007 (3 sequential steps, no parallelism)</input> <output> Process: 3 steps, all sequential, no specialization. Structure: **Single agent** with ordered skill stack.

Agent: Feature Builder

  • Skills: [brainstorming, prd-writing, implementation-plan]
  • Tools: [Read, Write, Bash]
  • Flow: brainstorming -> prd-writing -> implementation-plan (sequential)

Generating role prompt via create-agent-prompt... Architecture spec saved to: docs/architecture/2026-04-10-feature-builder-arch.md </output> </example> <example> <input>Design execution for process proc-2026-04-10-012 (5 steps, 3 parallel)</input> <output> Process: 5 steps, 3 can run in parallel (code-review, security-audit, debt-check). Structure: Multi-agent parallel fan-out.

Topology: Orchestrator -> [Review Agent, Security Agent, Debt Agent] -> Merge Agent [Defining boundaries, generating role prompts for each...]

Architecture spec saved to: docs/architecture/2026-04-10-review-pipeline-arch.md Running setup-evaluation before handoff to project-orchestrator. </output> </example> </examples>


Common Rationalizations

ExcuseReality
Agent without boundariesDefine tools, memory, and escalation limits.
Copy prompt from blogsecure-* scan; cite sources.
Skip setup-evaluationEval hooks belong in agent design.
One-shot mega-promptSplit orchestrator vs worker skills.

Verification

  • Agent role and boundaries documented
  • Skill/tool routing map produced
  • Memory policy stated
  • Outputs logged when files created

Red Flags

  • Topology designed without checking platform parallel limits
  • Single agent shipped with no role prompt or skill stack
  • Scaffold choice ignored despite large benchmark variance
  • Fan-out merge has no explicit output contract between agents

Prune Log

Last pruned: 2026-07-04

  • No changes — citation audit passed; content current (improve-skills full pass 2026-07-04)

Impact Report

Architecture designed for: [task]
Structure: single-agent | multi-agent-sequential | multi-agent-parallel | multi-agent-hierarchical
Agents defined: [N]
Architecture spec: docs/architecture/YYYY-MM-DD-<slug>-arch.md
Process entry linked: [proc-ID]
Next: setup-evaluation (if agent-chain) | project-orchestrator

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