Kollabe 用户画像与受众定位|简诗 AI

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围绕“Kollabe 用户画像与受众定位”提供具体执行方法,涵盖用户需求、方案设计、优先级和验证迭代。

一句话选型结论

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Kollabe 用户画像与受众定位|简诗 AI是研究检索类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

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安装

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在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_fccf428b/sales-kollabe
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

研究检索
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_fccf428b仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
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许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791661895
正文体量15.5 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查资料并整理出处

让模型按主题查资料,并把引用来源整理成清单。

网页与文献要点提炼

把长文、论文、网页压成能直接看的要点。

竞品与行业汇总

按关键词汇总竞品动态与行业信息。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在研究检索场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Kollabe 用户画像与受众定位|简诗 AI当前 未标注权限 未标注 未标注 未标注 有
寻找技能 浏览器控制 GitHub 仓库 3120.0 万 Codex、Claude、Cursor 有
自我改进 Agent 接触敏感数据 ClawHub 市场 1646.4 万 OpenClaw 有
灵魂追踪 联网访问 GitHub 仓库 758.9 万 Codex、Claude、Cursor 有
自我完善 联网访问 ClawHub 市场 682.9 万 OpenClaw 有
微软代工厂 调用外部服务 GitHub 仓库 661.4 万 Codex、Claude、Cursor 有

SKILL.md 全文

15.5 KB
模型实际读到的说明书原文,来自技能仓库

Kollabe Platform Help

Kollabe (kollabe.com) is an agile team-collaboration platform (Planning Poker, Sprint
Retrospectives, Daily Standups, Ice Breakers, Team Spaces) that also ships a set of free AI
product-development tools
. The two that matter for GTM/founder work are the User Persona
Generator
and the User Story Generator (alongside a Story Splitter, an Acceptance-Criteria
generator, and RICE/OKR/SMART-goal helpers). Describe your product and target market and it fills in a
persona (demographics, goals, pain points, behavioral patterns, technical preferences, evaluation
criteria) or drafts user stories with acceptance criteria in seconds.

Its place in the persona cluster: it's a free, prompt-only persona generator (peer of
InstantPersonas/PersonaGen/Personadeck) that happens to sit next to a free user-story toolkit — the
simpler, free cousin of Userforge's persona→user-story pipeline (no journey mapping, no build-handoff).

The API twist to get right: unusually for this cluster, Kollabe's paid Premium plan has a real
MCP server and public REST API — but they drive the meeting side (planning poker, standups,
retros), not the persona/story generators. The free generators are UI-only web tools with no
export and no API
. Don't promise a persona-generation API.

Note: details below are best-effort from research (2026-07) — the live /developers reference is
JS-rendered and wasn't fetchable verbatim; verify tiers/endpoints at kollabe.com.

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask only what you can't infer:

  1. What do you want from Kollabe?
    - A) Generate a buyer/user persona from a product description
    - B) Generate/split user stories or write acceptance criteria
    - C) Automate or export — the API/MCP question (what's actually programmable)
    - D) Understand Free vs Planning-Poker-Only vs Premium and what's plan-gated
    - E) Get more useful output (how to describe your product/market)
  2. Do you have a specific product + target-market description ready? Output quality tracks the detail you give it.

Skip-ahead: if the user wants the validate-before-building method or to compare persona/idea tools
across the market, that's a /sales-idea-validation question — route in Step 2.

Step 2 — Route or answer directly

If the user's question is about… Route to
The validate-before-building method, or comparing persona/idea tools across the market /sales-idea-validation {question}
The persona→user-story→build-spec pipeline with journey maps + Jira/GitHub handoff /sales-userforge {question}
A sibling prompt-only persona generator (projects + content prompts) /sales-personagen {question}
A sibling generator that adds website-perception "Insights" + competitor personas /sales-instantpersonas {question}
Turning persona insights into a content plan across tools /sales-content {question}
Growing a pre-launch waitlist / capturing real demand /sales-audience-growth {question}

When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"

Otherwise, answer Kollabe-specific questions using Step 3.

Step 3 — Kollabe platform reference

Read references/platform-guide.md for the full reference — the free-tools catalog (persona, user
story, story splitter, acceptance criteria, RICE, OKR), the persona field set and persona types
(primary user / buyer / influencer / detractor), the agile-meeting modules, the Free/Planning-Poker/
Premium split and best-effort pricing, and the real automation surface (MCP + REST API for meetings,
not personas). For the developer surface see references/kollabe-api-reference.md.

Answer using only the relevant section — don't dump the full reference.

Step 4 — Actionable guidance

  • Feed it a specific product + target-market description — output quality tracks input. A generated
    persona (or story set) is only as good as the context behind it. Tell the user to describe a
    specific customer, the exact problem, the product's differentiation, and the persona type they
    need
    rather than a one-line topic, then re-run variants and compare; a thin prompt yields a
    generic, could-be-anyone persona.
  • Pick the persona type deliberately. Kollabe can generate primary users, buyers, influencers, and
    detractors
    . For a real stakeholder map, have the user generate more than one type (e.g. the buyer
    and the detractor) rather than a single blended profile.
  • For a persona→build workflow, use the free story tools — but say where they stop. Point the user
    to Kollabe's free User Story Generator, Story Splitter, and Acceptance-Criteria Generator
    to draft user stories (with Given/When/Then acceptance criteria) from a persona and slice large
    stories into independently deliverable pieces. Then say plainly the free story tools stop at the
    story
    — there is no journey map and no spec-to-Jira/GitHub build-handoff — so when the user
    wants that pipeline (persona → stories → spec → build), route to /sales-userforge. Treat any
    generated backlog as an unvalidated hypothesis to review before building.
  • Treat every generated persona/story as an editable hypothesis, and always prescribe validating it
    against real users.
    The output is an AI guess that can sound convincing while being invented — so
    in every answer, tell the user to validate it against real customers before building or messaging
    around it: interview target users about the last time they hit the problem and watch what they
    actually do
    (observed behavior beats stated intent). Kollabe itself says the generator is a starting
    point, not a replacement for real user research.
  • Don't confuse a persona with validated demand. Kollabe can produce a polished persona for an
    audience that won't buy — if the real question is "should I build/ship this?", route to
    /sales-idea-validation for real signal (smoke test / pre-sale). Use the persona to sharpen the
    pitch; take the go/no-go from real behavior.
  • On automation, be precise: the persona/story generators have NO API — the REST API + MCP are for
    meetings.
    If asked to batch or script persona generation, say plainly the free generators are
    UI-only with no export/API
    ; there's no supported way to script them. Kollabe's public REST API
    (kollabe.com/api/v1/, Bearer personal-access tokens) and MCP server (kollabe.com/api/mcp, OAuth,
    ~46 tools)
    are Premium-gated and drive planning poker / standups / retros, not personas. For
    programmatic persona generation, call an LLM API directly (see references/platform-guide.md).
  • Present pricing as best-effort and start on the free tools. The persona/story generators are
    free on any tier; the API/MCP requires Premium. Name the free path first and tell the user to
    confirm current tiers and plan gates at kollabe.com/pricing before upgrading, since figures move.

If you discover a gotcha or tip not in references/learnings.md, append it there with today's date.

Gotchas

Best-effort from research (2026-07) — the free-tool lineup, tiers, and API surface move, and the live
/developers docs are JS-rendered; verify at kollabe.com.

  • The persona generator has no API or export. It's a free UI web tool — you can't script it or pull
    a persona out programmatically. The REST API/MCP are a different product surface (meetings).
  • The REST API + MCP are Premium-gated and about meetings, not personas. api/v1 and api/mcp
    expose planning poker, standups, retros — don't tell a user they can generate personas over the API.
  • A generated persona is not validated demand. It'll happily describe a buyer for an audience that
    won't pay — pair it with a real demand test (/sales-idea-validation).
  • AI personas/stories sound convincing even on thin input. The model can invent demographics,
    motivations, and acceptance criteria; validate against real users before building on them.
  • Kollabe is primarily an agile-meeting tool. Most of the product (and all the paid value) is
    planning poker / retros / standups for engineering teams; the persona/story generators are free
    lead-magnet tools bolted on — don't assume deep persona features.
  • Pricing is best-effort and may be stale. Free / Planning-Poker-Only / Premium; the free generators
    don't need a paid plan, but the MCP/API do — confirm current gates before relying on them.

Related skills

  • /sales-idea-validation — The tool-agnostic validate-before-building method + the full persona/validator tool landscape (use this to actually decide build-or-not)
  • /sales-userforge — Userforge platform help (the persona→user-story→build-spec pipeline with journey maps and Jira/GitHub handoff — the paid, deeper cousin of Kollabe's free story tools)
  • /sales-personagen — PersonaGen platform help (a sibling prompt-only persona generator — detailed personas + reusable content-generation prompts, organized into projects; UI-only/no API)
  • /sales-instantpersonas — InstantPersonas platform help (a sibling prompt-only persona generator that also adds website-perception "Insights" and competitor personas)
  • /sales-content — Content-marketing strategy across tools (turn persona insights into a content plan)
  • /sales-audience-growth — Grow a pre-launch waitlist and capture real demand
  • /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do -a claude-code

Examples

Example 1: Generate a buyer persona for a product

User says: "I'm building a scheduling app for freelance photographers — can Kollabe give me a persona?"
Skill does: Points to the free User Persona Generator and stresses describing a specific customer
(a wedding photographer who double-books and loses deposits, say) with the exact problem and
differentiation so the output beats a generic template; suggests generating more than one persona
type
(the buyer and a detractor); frames the resulting persona — goals, pain points, evaluation
criteria — as an editable hypothesis to confirm with a handful of real photographer conversations before
building messaging around it. Notes it's free and there's no export/API for it.
Result: A tailored, multi-persona view the founder validates against reality instead of a generic profile.

Example 2: Persona → user stories for a build

User says: "I've got a persona in Kollabe — how do I turn it into user stories I can build from?"
Skill does: Points to the free User Story Generator, Story Splitter, and Acceptance
Criteria Generator
; explains the flow (persona → stories with Given/When/Then acceptance criteria →
split large stories into deliverable slices), and warns that a generated backlog is an unvalidated
hypothesis
to review before building — and that Kollabe's free story tools stop there (no journey map
or spec-to-Jira/GitHub handoff), pointing to /sales-userforge if the user wants that pipeline.
Result: The user gets a usable starter backlog with the right expectations about its limits.

Example 3: Can I automate persona generation via the API? (developer/automation)

User says: "What's Kollabe's API? I want to generate personas for 30 segments in a script."
Skill does: Draws the line precisely — the persona generator is a free UI tool with no API or
export
, so there's no supported way to batch it; Kollabe's public REST API (kollabe.com/api/v1/,
Bearer personal-access tokens with read/write/admin scopes) and MCP server (kollabe.com/api/mcp,
OAuth, ~46 tools)
are Premium-gated and expose meetings (planning poker, standups), not
personas. Recommends calling an LLM API directly for programmatic persona generation (with a
cURL/Python example from references/platform-guide.md), and notes the thing worth automating is a real
demand signal, not a generated persona — pointing to /sales-idea-validation.
Result: The user avoids building on a non-existent persona API and picks a workable path.

Troubleshooting

Persona feels generic / just repeats what I typed

Symptom: The generated persona is vague, or reads like a restatement of the prompt with no insight.
Cause: The product/market prompt was thin — the generator needs specific context (Kollabe positions
it as a fast starting point, not deep research).
Solution: Re-run with a rich description — specific customer, the exact problem, how the product
differs, which persona type (buyer vs detractor) — and compare variants. The more context, the sharper
and more usable the persona.

"Is there a persona API?" / can't batch personas

Symptom: Looking for API docs or a webhook to auto-generate personas.
Cause: The free persona/story generators are UI-only with no API or export; Kollabe's REST
API/MCP are Premium-gated and cover meetings, not personas.
Solution: Don't build a persona integration around Kollabe — copy outputs manually, or call an LLM
API directly with your own persona prompt for programmatic use (see references/platform-guide.md).
Automate the real demand signal instead — see /sales-idea-validation.

Connecting the Kollabe MCP server does nothing for personas

Symptom: Set up the MCP server expecting to generate personas from Claude/Cursor, but the tools are
about standups and planning poker.
Cause: The MCP server (kollabe.com/api/mcp, OAuth, ~46 tools) and REST API are the meeting
automation surface — running poker sessions, submitting standup answers — not the free generators.
Solution: Use MCP/REST for meeting workflows (Premium). For persona/story generation, use the free
web tools or an LLM API. Confirm scopes (read/write/admin) and the target organization when issuing a
personal access token — see references/kollabe-api-reference.md.

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常见问题

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Kollabe 用户画像与受众定位|简诗 AI怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_fccf428b/sales-kollabe。安装方式为未标注。装完刷新技能列表或重开客户端。

Kollabe 用户画像与受众定位|简诗 AI支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Kollabe 用户画像与受众定位|简诗 AI权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Kollabe 用户画像与受众定位|简诗 AI收费吗?

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