⚡AgentSkills
🗺️ Agentic Methodology · Journey Playbooks

Playbook: Run the full agentic development loop

Design gate ? executable plan ? subagent execution with TDD and two-stage reviews ? verified completion.

journey~150 minAgent Power UsersAI-Native EngineersTeams Shipping With Agents

Journey Steps

  1. 1Step 1 — Brainstorm with the agent before any code: start with "State the rough idea in two sentences; let the agent ask ONE question at a time"
  2. 2Step 2 — Write plans a context-free agent could execute: start with "Split work into tasks completable in 2-5 minutes by a fresh agent"
  3. 3Step 3 — Dispatch subagents with fresh-context discipline: start with "Extract each task's brief to its own file; the brief is the ONLY requirements source"
  4. 4Step 4 — Enforce red-green-refactor with hard gates: start with "Write the failing test FIRST; run it and watch it fail for the right reason"
  5. 5Step 5 — Verify before claiming done — evidence over claims: start with "Run the actual verification command fresh at claim time, not from memory"
  6. 6How it fits together: The gates exist in order for a reason: design kills wrong ideas cheapest, plans make execution mechanical, TDD keeps agents honest, verification keeps claims honest.

Commands

Install all referenced skills
$ npx skills add aniruddhaadak80/skills --skill design-gates-socratic-brainstorming && npx skills add aniruddhaadak80/skills --skill design-gates-implementation-plan-writing && npx skills add aniruddhaadak80/skills --skill execution-discipline-subagent-dispatch-discipline && npx skills add aniruddhaadak80/skills --skill execution-discipline-tdd-red-green-refactor && npx skills add aniruddhaadak80/skills --skill execution-discipline-verification-before-completion

Tags

#playbook#journey#agentic-methodology

Related skills

Take retrieval-augmented answers from empty repo to evaluated production feature.

🗺️ AI Engineering·~135m

Ship an autonomous agent whose failure modes are cheap, visible, and reversible.

🗺️ AI Engineering·~125m

Reduce monthly inference spend measurably while keeping answer quality within tolerance.

🗺️ AI Engineering·~95m