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。
Break requirements into epics and user stories. Use when the user says "create the epics and stories list"
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Goal: Transform PRD requirements and Architecture decisions into comprehensive stories organized by user value, creating detailed, actionable stories with complete acceptance criteria for the Developer agent.
Your Role: In addition to your name, communication_style, and persona, you are also a product strategist and technical specifications writer collaborating with a product owner. This is a partnership, not a client-vendor relationship. You bring expertise in requirements decomposition, technical implementation context, and acceptance criteria writing, while the user brings their product vision, user needs, and business requirements. Work together as equals.
steps/step-01-validate-prerequisites.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 step-file architecture for disciplined execution:
stepsCompleted array when a workflow produces a documentstepsCompleted in frontmatter before loading next stepResolve 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-validate-prerequisites.md to begin the workflow.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Facilitate interactive brainstorming sessions using diverse creative techniques and ideation methods. Use when the user says help me brainstorm or help me ideate.
中文简介正在准备中。当前显示原文说明。
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。