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make-plan

Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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Make Plan

You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.

Delegation Model

Use subagents for fact gathering and extraction (docs, examples, signatures, grep results). Keep synthesis and plan authoring with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.

Subagent Reporting Contract (MANDATORY)

Each subagent response must include:

  1. Sources consulted (files/URLs) and what was read
  2. Concrete findings (exact API names/signatures; exact file paths/locations)
  3. Copy-ready snippet locations (example files/sections to copy)
  4. "Confidence" note + known gaps (what might still be missing)

Reject and redeploy the subagent if it reports conclusions without sources.

Plan Structure

Phase 0: Documentation Discovery (ALWAYS FIRST)

Before planning implementation, deploy "Documentation Discovery" subagents to:

  1. Search for and read relevant documentation, examples, and existing patterns
  2. Identify the actual APIs, methods, and signatures available (not assumed)
  3. Create a brief "Allowed APIs" list citing specific documentation sources
  4. Note any anti-patterns to avoid (methods that DON'T exist, deprecated parameters)

The orchestrator consolidates findings into a single Phase 0 output.

Each Implementation Phase Must Include

  1. What to implement — Frame tasks to COPY from docs, not transform existing code
    • Good: "Copy the V2 session pattern from docs/examples.ts:45-60"
    • Bad: "Migrate the existing code to V2"
  2. Documentation references — Cite specific files/lines for patterns to follow
  3. Verification checklist — How to prove this phase worked (tests, grep checks)
  4. Anti-pattern guards — What NOT to do (invented APIs, undocumented params)

Final Phase: Verification

  1. Verify all implementations match documentation
  2. Check for anti-patterns (grep for known bad patterns)
  3. Run tests to confirm functionality

Key Principles

  • Documentation Availability ≠ Usage: Explicitly require reading docs
  • Task Framing Matters: Direct agents to docs, not just outcomes
  • Verify > Assume: Require proof, not assumptions about APIs
  • Session Boundaries: Each phase should be self-contained with its own doc references

Anti-Patterns to Prevent

  • Inventing API methods that "should" exist
  • Adding parameters not in documentation
  • Skipping verification steps
  • Assuming structure without checking examples

See Also

  • oh-my-issues — the issue-side sibling. When the plan you're being asked to make is rooted in a bug or feature backlog rather than a fresh idea, route through oh-my-issues first to cluster issues by root cause into plan masters and plans/0X-*.md design docs. make-plan then operates on the design doc for one plan slice.

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같은 저장소의 스킬

Use this skill whenever the user wants to create or improve a presentation for an academic context — conference papers, seminar talks, thesis defenses, grant briefings, lab meetings, invited lectures, or any presentation where the audience will evaluate reasoning and evidence. Triggers include: 'conference talk', 'seminar slides', 'thesis defense', 'research presentation', 'academic deck', 'academic presentation'. Also triggers when the user asks to 'make slides' in combination with academic content (e.g., 'make slides for my paper on X', 'create a presentation for my dissertation defense', 'build a deck for my grant proposal'). This skill governs CONTENT and STRUCTURE decisions. For the technical work of creating or editing the .pptx file itself, also read the pptx SKILL.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

skillmds/skillmd2492026년 10월 14일 업데이트

adp

무료

Redpanda's Agentic Data Plane: governance infrastructure for building, running, and governing AI agents and MCP servers, plus a proxying AI Gateway for LLM providers, operated via `rpk ai` and the ADP API. Use when creating or managing AI agents (managed or self-managed) via `rpk ai agent` or `AgentRegistryService`; configuring MCP servers (remote or managed catalog, code mode, auth); setting up LLM providers or querying models via `rpk ai llm`/`rpk ai model` or the AI Gateway proxy; or configuring budgets, guardrails, or Cedar access-control policies through the governance APIs. Also covers reading agent transcripts and spending insights, and wiring OAuth clients or providers to the aigw Authorization Server. For the separate rpk cloud mcp control-plane MCP server, see `/redpanda:rpk-cloud`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

skillmds/skillmd2492026년 10월 14일 업데이트

ads

무료

Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

skillmds/skillmd2492026년 10월 14일 업데이트

ads-apple

무료

Audit Apple Ads measurement, AdServices and AdAttributionKit, campaign and keyword structure, Search Match, App Store placements, custom product pages, bidding, budgets, MMP reconciliation, and policy. Use for Apple Ads, Apple Search Ads, App Store ads, Search Match, custom product pages, AdServices, or Apple app-install campaigns.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

skillmds/skillmd2492026년 10월 14일 업데이트

Research competitor paid-ad presence, messaging, creative, formats, landing pages, keyword and auction signals, transparent ad libraries, and strategic gaps across supported platforms. Use for competitor ads, ad libraries, ad spy, competitive PPC analysis, competitor creative, Google Ads Transparency, Meta Ad Library, or paid-media competitor research.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

skillmds/skillmd2492026년 10월 14일 업데이트

ads-dna

무료

Extract a public-safe brand and offer profile for paid advertising from an authorized website and operator input. Triggers on: brand DNA, brand profile, brand identity, brand style, brand colors, brand voice, visual identity, style guide, website brand analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

skillmds/skillmd2492026년 10월 14일 업데이트

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