[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7AMJSHD8AN8W1HT86R4FDPS":3,"skill-same:01M7AMJSHD8AN8W1HT86R4FDPS":44},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":23,"commitSha":24,"skillDirectory":25,"forksCount":26,"repositoryHtmlUrl":27,"repositoryHomepageUrl":6,"ownerHtmlUrl":28,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":29,"install":30,"resources":43},"01M7AMJSHD8AN8W1HT86R4FDPS","bmad-technical-research",null,"Deprecated — forwards to bmad-deep-recon (technical type).","zaurakworks\u002Fagent-system","zaurakworks","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F317111357?v=4","01M7AM97CDHZBZWB7HQWS5KXTG","01M7AM97D2BT6WP9MT76TV8WGG",1,"MIT","https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-technical-research\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: bmad-technical-research\ndescription: 'Deprecated — forwards to bmad-deep-recon (technical type).'\n---\n\n# DEPRECATED — forwards to bmad-deep-recon (technical type)\n\nThis skill was consolidated into `bmad-deep-recon`. It is retained as a thin compatibility shim so existing invocations by name and `_bmad\u002Fcustom\u002Fbmad-technical-research.toml` override files keep working. New work should invoke `bmad-deep-recon` directly — it drafts deep-research prompts for outside tools, processes finished reports into downstream-ready summaries, and runs research directly, across market, domain, technical, competitive, user-voice, and academic-lit types (plus a select shape for choose-between decisions and custom types).\n\n## On Activation\n\n1. Resolve customization: `uv run {project-root}\u002F_bmad\u002Fscripts\u002Fresolve_customization.py --skill {skill-root} --key workflow`. This picks up any `{project-root}\u002F_bmad\u002Fcustom\u002Fbmad-technical-research.toml` and `bmad-technical-research.user.toml` overrides for the legacy fields (`activation_steps_prepend`, `activation_steps_append`, `persistent_facts`, `on_complete`).\n2. Emit a deprecation notice to the user (in their configured communication language): `bmad-technical-research` is deprecated and forwards to `bmad-deep-recon` with the technical type. To silence this notice and access the full new surface (draft\u002Fprocess\u002Frun modes, research types, verification levels, HTML briefing, handoffs), migrate `_bmad\u002Fcustom\u002Fbmad-technical-research.toml` to `_bmad\u002Fcustom\u002Fbmad-deep-recon.toml` and invoke `bmad-deep-recon` directly.\n3. Invoke `bmad-deep-recon` with: **research type** `technical` (skip its type inference), the four legacy fields above as pre-resolved values, and the user's original input verbatim. `bmad-deep-recon` takes the workflow from here — do not execute any further steps in this shim.\n","# DEPRECATED — forwards to bmad-deep-recon (technical type)\n\nThis skill was consolidated into `bmad-deep-recon`. It is retained as a thin compatibility shim so existing invocations by name and `_bmad\u002Fcustom\u002Fbmad-technical-research.toml` override files keep working. New work should invoke `bmad-deep-recon` directly — it drafts deep-research prompts for outside tools, processes finished reports into downstream-ready summaries, and runs research directly, across market, domain, technical, competitive, user-voice, and academic-lit types (plus a select shape for choose-between decisions and custom types).\n\n## On Activation\n\n1. Resolve customization: `uv run {project-root}\u002F_bmad\u002Fscripts\u002Fresolve_customization.py --skill {skill-root} --key workflow`. This picks up any `{project-root}\u002F_bmad\u002Fcustom\u002Fbmad-technical-research.toml` and `bmad-technical-research.user.toml` overrides for the legacy fields (`activation_steps_prepend`, `activation_steps_append`, `persistent_facts`, `on_complete`).\n2. Emit a deprecation notice to the user (in their configured communication language): `bmad-technical-research` is deprecated and forwards to `bmad-deep-recon` with the technical type. To silence this notice and access the full new surface (draft\u002Fprocess\u002Frun modes, research types, verification levels, HTML briefing, handoffs), migrate `_bmad\u002Fcustom\u002Fbmad-technical-research.toml` to `_bmad\u002Fcustom\u002Fbmad-deep-recon.toml` and invoke `bmad-deep-recon` directly.\n3. Invoke `bmad-deep-recon` with: **research type** `technical` (skip its type inference), the four legacy fields above as pre-resolved values, and the user's original input verbatim. `bmad-deep-recon` takes the workflow from here — do not execute any further steps in this shim.\n",{"name":5,"description":7},"main","8d56565809c4907cf7c91fff18c6dc19fc15676a",".claude\u002Fskills\u002Fbmad-technical-research",2,"https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system","https:\u002F\u002Fgithub.com\u002Fzaurakworks","2026-08-25 20:02:23",{"source":8,"skillName":5,"commands":31,"prompt":41,"zipAvailable":42},[32,35,38],{"tool":33,"command":34},"npx","npx skills add zaurakworks\u002Fagent-system --skill bmad-technical-research",{"tool":36,"command":37},"bunx","bunx skills add zaurakworks\u002Fagent-system --skill bmad-technical-research",{"tool":39,"command":40},"pnpm","pnpm dlx skills add zaurakworks\u002Fagent-system --skill bmad-technical-research","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fbmad-technical-research\u002FSKILL.md",true,[],[45,52,59,66,73,80],{"skillNo":46,"name":47,"nameZh":6,"description":48,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":49,"categories":50,"keywords":51,"publishedAt":18},"01M7AMNEBBK6MPZFW7PAXPB65C","skill-maintenance","创建、审计、修正、拆分、升级、迁移或退役 Skill，或其合同／入口已漂移时，先恢复行为、授权与预算，再同步正文、调用者、版本、生成物和验证。普通业务维护、纯格式修正、承载位置未定的纠正不触发。Use for explicit Skill maintenance, not carrier choice.","https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002Fplugins\u002Fskill-maintenance\u002Fskills\u002Fskill-maintenance\u002FSKILL.md",[],[],{"skillNo":53,"name":54,"nameZh":6,"description":55,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":56,"categories":57,"keywords":58,"publishedAt":18},"01M7AMN8D2VGEE8AX3T4B6ANWT","skill-appraisal","判定一个 Skill 组该不该进当前装配、归哪些事项、与谁重叠，或对已判定过的组按节拍复核。三种进入：首次判定新候选、补判早已在用但从未判定过的组、按失效条件复核。判定单位是组不是单个 Skill；产出必须留下失效条件与下次最少复核步骤。用于外部来源、他人所写、疑似重复或从未被判定过的组。从零设计新 Skill 用 agent-skill-design；已定下后的改造、迁移、退役用 skill-maintenance；只要外部标准与版本事实用 capability-lifecycle；对象是 knowledge 用 knowledge-maintenance。本 Skill 只产出判定，不安装、不写配置、不改 profile。Appraise a Skill group, or recheck an adopted one. Judgement only, never installs.","https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002Fplugins\u002Fskill-appraisal\u002Fskills\u002Fskill-appraisal\u002FSKILL.md",[],[],{"skillNo":60,"name":61,"nameZh":6,"description":62,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":63,"categories":64,"keywords":65,"publishedAt":18},"01M7AMN45ZD6C1BN60Q55RG345","self-improvement","当用户指出 Agent 漂移、误解、重复犯错，要求把任务经验固化为系统改进，或讨论只增概念却不减关键未知、形成决定或可检验资产时，只暂停依赖被推翻假设的路径，重锚原问题、持久记录纠正、诊断原因，并在授权内改进入口提示词或 Skill。最小实验不能验收产品交付；普通一次性错误、偏好或任务内修复不触发完整自我优化。Use for reported drift, misunderstanding, repeated mistakes, durable Agent improvement, or abstraction loops without decisions or testable assets. Freeze only affected paths and avoid a full detour for ordinary one-off corrections.","https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002Fplugins\u002Fself-improvement\u002Fskills\u002Fself-improvement\u002FSKILL.md",[],[],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":18},"01M7AMMXZ9PNV3H53GFNBF6Y9B","resource-observability","当用户查询 Codex／Claude 账户额度、重置时间、Codex 重置券、单 Session Token，或高成本／多 Agent 工作要决定启动、并行、降级、延后或停止时，按需读取 Orca 账户快照与固定 ccusage 回执，区分状态、来源、可信度和未知值。不要用于低风险任务、轮询、自动调度／消费权益、账单推断或长期保存快照。Use for account capacity, reset times, credits, session tokens, or consequential resource decisions. Skip routine work, polling, scheduling, automatic credit use, billing inference, and durable snapshot storage.","https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002Fplugins\u002Fresource-observability\u002Fskills\u002Fresource-observability\u002FSKILL.md",[],[],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":18},"01M7AMMRGYZ3629M4EJPPBSNKX","orchestrated-collaboration","当用户明确要求多 Agent／多 Session／跨 Provider 协作、任务已授权委派，或活动 Session 发生共享写入碰撞时，建立目标来源、排他所有权、可追踪交付、独立验收与综合；按共享资源和 Issue 子树确定唯一协调者，只冻结重叠或受推翻假设影响的路径。协调者参与高价值多交付件能力的拆分或设计时，由未参与者复核父目标；使用已选后端，选 Orca 时动态读 orchestration 指南。不要因复杂、额度或空闲 Agent 擅自并行，也不把试用变成长期依赖。Use for authorized multi-agent work, cross-session delegation, or shared-write collisions. Establish exclusive ownership, traceable delivery, independent acceptance, and bounded synthesis; add parent-goal review when required and avoid invented coordination or permanent platform commitments.","https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002Fplugins\u002Forchestrated-collaboration\u002Fskills\u002Forchestrated-collaboration\u002FSKILL.md",[],[],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":18},"01M7AMMJXXSA6WFAAJCQE8JY1A","knowledge-maintenance","用于多来源调研、可重复实验、会影响权威／Agent 配置／重要决定的研究，或用户要求复用、复核、更新当前知识时：先找已认可知识和失效条件，只补变化、冲突与缺口，再经价值门和可信门更新。不用于低成本一次性事实、原始材料／研发过程留存、私域结构设计、定时全量重查或旧仓导入。Use before multi-source research, repeatable experiments, consequential authority\u002Fconfiguration decisions, or explicit knowledge reuse. Skip cheap one-off facts, raw retention, private architecture, scheduled full re-research, and bulk legacy imports.","https:\u002F\u002Fgithub.com\u002Fzaurakworks\u002Fagent-system\u002Fblob\u002Fmain\u002Fplugins\u002Fknowledge-maintenance\u002Fskills\u002Fknowledge-maintenance\u002FSKILL.md",[],[]]