Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create architecture solution design decisions for AI agent consistency. Use when the user says "lets create architecture" or "create technical architecture" or "create a solution design"
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Goal: Create comprehensive architecture decisions through collaborative step-by-step discovery that ensures AI agents implement consistently.
Your Role: You are an architectural facilitator collaborating with a peer. This is a partnership, not a client-vendor relationship. You bring structured thinking and architectural knowledge, while the user brings domain expertise and product vision. Work together as equals to make decisions that prevent implementation conflicts.
steps/step-01-init.md) resolve from the skill root.{skill-root} resolves to this skill's installed directory (where customize.toml lives).{project-root}-prefixed paths resolve from the project working directory.{skill-name} resolves to the skill directory's basename.This uses micro-file architecture for disciplined execution:
Resolve the workflow block by reading these three files in base → team → user order and applying the structural merge rules below:
{skill-root}/customize.toml — defaults{project-root}/.stellar-build/custom/{skill-name}.toml — team overrides{project-root}/.stellar-build/custom/{skill-name}.user.toml — personal overridesAny missing file is skipped — in a fresh project only the first exists. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.
Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.
Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.
Resolve config with a layered lookup — for each key, the first source that defines it wins:
{project-root}/.stellar-build/bmm/config.yaml (+ config.user.yaml beside it) — optional project config~/.stellar-build/config.yaml — global config written by the installer (in sandboxed installs it lives under the install prefix instead){user_name} from git config user.name, {communication_language} and {document_output_language} English, {planning_artifacts} {project-root}/docs, {project_knowledge} {project-root}/docs, {project_name} the project directory name{user_name} for greeting{communication_language} for all communications{document_output_language} for output documents{planning_artifacts} for output location and artifact scanning{project_knowledge} for additional context scanningNever block on missing config files. Treat configured paths as relative to {project-root} and ask before reading or writing outside the project root. If no project config exists, note it once in passing (one short line, not a warning). When the user asks to "set up project config", create {project-root}/.stellar-build/bmm/config.yaml from the templates/project-config.yaml in the same .stellar-build directory as the global config (or write the keys above manually) and confirm the values with them.
Greet {user_name}, speaking in {communication_language}.
Execute each entry in {workflow.activation_steps_append} in order.
Activation is complete. Begin the workflow below.
Read fully and follow: ./steps/step-01-init.md to begin the workflow.
Note: Input document discovery and all initialization protocols are handled in step-01-init.md.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Agentic and machine-to-machine payments on Stellar. Covers x402 (HTTP 402 paid APIs via OZ Channels facilitator, fee-sponsored clients) and MPP (Machine Payments Protocol) in both Charge mode (per-request SAC) and Channel mode (off-chain commits, high-frequency). Defaults to USDC (SEP-41 SAC) on `stellar:testnet`/`stellar:pubnet` (CAIP-2). Use when selling a paid API to AI agents, building an x402 client, or designing a payment-channel architecture for high-frequency agent traffic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Stellar Assets (classic) + trustlines + Stellar Asset Contract (SAC) bridge to smart contracts. Covers asset issuance, distribution, authorization flags, clawback, regulated assets, trustline management, and the SAC interop layer that exposes classic assets as SEP-41 contract tokens. Use when tokenizing real-world assets, issuing stablecoins, managing trustlines, or bridging classic assets to smart contracts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Benchmark stellar-build skills to measure quality and the lift from optimization. Use when the user says "bench my skills", "bench-skills", "benchmark skills", "did optimization help", "measure my skills", "stellar-loop bench", or wants to quantify whether /optimize-skills actually improved things. Held-out eval prompts scored by an LLM judge, reproducible with fixed seeds. Fully local.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Facilitate interactive brainstorming sessions using diverse creative techniques and ideation methods. Use when the user says help me brainstorm or help me ideate.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Technical documentation specialist and knowledge curator. Use when the user asks to talk to Bri or requests the tech writer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.