依据WCAG 2.2设计和检查Web、iOS及Android界面,核查读屏标签、键盘操作、配色对比度和操作目标尺寸,使界面支持辅助技术。
- 为纯图标按钮添加说明
- 检查键盘操作与模态框焦点
- 检查对比度与操作目标尺寸
通过多次访谈梳理品牌目的、受众和表达风格,保存回答与进度并汇编为品牌手册,帮助创始人明确想法,向设计师和文案人员共享品牌方向。
Run a structured, resumable multi-session brand identity interview across 8 modules (purpose, positioning, audience, personality, voice, narrative, founder tension) using laddering, 5 Whys, and projective techniques, persisting answers to disk and producing a master brandbook (90_SYNTHESIS.md). Use when creating or repositioning a brand, briefing designers or writers, or making implicit founder knowledge explicit.
该技能通过访谈梳理品牌目的、市场定位、受众、个性、表达风格、故事,以及创始人与组织的关系,汇总到90_SYNTHESIS.md。每次只问一个问题,继续追问回答中的细节;遇到抽象表述时,会要求具体例子。原始回答与解读分开保存,同时保留措辞方案和尚未解决的问题。
适合创建新品牌,或重新审视现有品牌的方向。可将创始人脑中的想法转化为文字,形成供设计师和文案人员参考的资料。若有多位创始人,会先分别访谈,再整理共同点和意见分歧。
流程以多次会话为前提。回答和进度会写入文件,因此需要项目内的保存位置和可写入的环境。恢复会话时会检查state.json及已有回答。汇总多人的意见前,须先完成个别访谈。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月19日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Use this skill to conduct a structured, adaptive brand identity interview.
The goal is a complete 90_SYNTHESIS.md — a master brandbook the
organization can use to brief designers, writers, and external
collaborators.
The interview runs across multiple sessions. Capture answers to disk as you go so that no elicited knowledge is lost when a conversation ends, and so a later session can resume from where the last one stopped.
On every activation, perform these steps before asking any interview question:
state.json checkpoint in the project's brand-identity directory.
If none exists, this is a fresh start — confirm the brand name,
participants, and where to save the brand-identity files, then begin at
the first module.Apply these rules throughout every module:
## Raw — verbatim quotes and examples.## Synthesis — your interpretation, three candidate formulations,
open questions, contradictions between participants.
Then update the state.json checkpoint (see State protocol below).| File | Label | Frameworks used |
|---|---|---|
10_purpose-why.md | Purpose / Why | Sinek Golden Circle, Lencioni |
20_positioning.md | Positioning | Dunford "Obviously Awesome", Moore template |
30_audience-niche.md | Audience & Niche | Baker "Business of Expertise", ICP |
40_personality-archetype.md | Personality & Archetype | Mark & Pearson 12 archetypes, J. Aaker 5 dims |
50_voice-tone.md | Voice & Tone | Brand voice guidelines |
60_narrative-story.md | Narrative / Story | Neumeier trueline, brand story arc |
70_founder-tension.md | Founder Brands vs Studio Brand | Enns "Win Without Pitching" |
90_SYNTHESIS.md | Master Brandbook | Kapferer prism, Aaker brand system |
Complete modules in order. Honour a user request to jump modules and note
the skip in state.json.
After each module reaches saturation or done status, write two files:
Module file at modules/{moduleFile} — full Raw and Synthesis content.
state.json — a lightweight checkpoint so a later session can resume.
Update completedModules, inProgressModule, nextModule, lastUpdated.
Schema:
{
"session": "{brand_name}-brand-{YYYY-MM}",
"outputPath": "{path_to_brand_identity_directory}",
"completedModules": [],
"inProgressModule": "10_purpose-why.md",
"nextModule": "20_positioning.md",
"participants": ["founder-A"],
"lastUpdated": "{ISO-8601}"
}
After writing, confirm: "Module X saved. State updated. Next: Y."
Terminal module (90_SYNTHESIS.md): when writing the final synthesis,
set inProgressModule to "90_SYNTHESIS.md" and nextModule to null
in state.json. After writing, set completedModules to include
"90_SYNTHESIS.md", then set inProgressModule to null — leaving it
populated would cause a future resumption to treat the completed brandbook
as still in progress. Confirm: "Brandbook complete. All modules saved."
When more than one founder participates, write each founder's answers to
founders/{participant}.md instead of the main module files. Validate the
participant name before writing: accept only alphanumeric characters and
hyphens (e.g. founder-a, anna); reject names containing path separators
(/, \, ..) or special characters. Validate moduleFile against the
enumerated module sequence (10 through 90 only). Validate outputPath to
ensure it is an absolute path within the project directory — reject relative
paths and paths that escape via .. segments. After all founders complete a
module, run a reconciliation pass: summarise convergences and divergences in
the module file, flag "productive tensions" for the group alignment workshop.
state.json. Skipping this loses all continuity from prior sessions.90_SYNTHESIS.md in one conversation produces shallow output.competitive-platform-analysis — after brand-discovery establishes the positioning brief, use this to scope and categorise the competitor set.brand-voice (ECC) — if the brand-discovery voice-and-tone module needs a separate, source-derived writing-style profile.还没有评价。欢迎分享你的使用感受。
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依据WCAG 2.2设计和检查Web、iOS及Android界面,核查读屏标签、键盘操作、配色对比度和操作目标尺寸,使界面支持辅助技术。
从指令、记忆、工具执行和界面显示等十二个层面排查人工智能代理故障,依据代码和日志梳理原因,按严重程度列出问题并提出修复方案。
用实际开发任务比较多个编程智能体,记录成功率、可获取的API费用、耗时和重复运行的稳定性,为工具选型及更新后的性能评估提供数据。
设计和调整AI智能体使用的工具、输入与返回格式,明确出错后的恢复、重试和停止条件,管理上下文信息量,并以完成率、重试次数和成功任务成本评估改进。
根据错误信息和执行环境,分析AI代理反复失败或重复操作的原因。通过小范围、可撤销的恢复操作检验假设,并将结果与依据整理成可供交接的报告。
在AI代理反复失败或重复操作时,记录错误与环境前提、排查原因,采取影响有限的恢复操作,并汇总结果和证据,为有依据的重试与交接提供支持。