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.
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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"
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
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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.
中文简介正在准备中。当前显示原文说明。
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.
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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.
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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.
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Facilitate interactive brainstorming sessions using diverse creative techniques and ideation methods. Use when the user says help me brainstorm or help me ideate.
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Technical documentation specialist and knowledge curator. Use when the user asks to talk to Bri or requests the tech writer.
中文简介正在准备中。当前显示原文说明。