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Daqi029/saas-onboarding-diagnosis

Agent skill for diagnosing SaaS onboarding, activation, Aha Moment, and time to value

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Individual skills in this repository

How it works

saas-onboarding-diagnosis

When your agent uses it

Inspect and diagnose a SaaS product's new-user onboarding, activation path, candidate Aha Moment, time to value, blank states, setup friction, guidance, invitation timing, and measurement plan. Use when a founder or product team wants to improve first-use completion, activation, or early retention, or review onboarding before launch. Do not use for employee onboarding, generic UX review, or full-funnel growth diagnosis.

What it loads into context

Frontmatter

95 tokens

Always available to the agent

SKILL.md

1,539 tokens

When the skill is activated

Reference documents

10,278 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Operating principles
  2. Start with autonomous discovery
  3. Choose the evidence path
  4. Make the core judgment
  5. Recommend experiments
  6. Finish well

Scripts executed separately

  • tests/check_contract.py

Files

  • .github/ISSUE_TEMPLATE/bug-report.ymlasset983 bytes
  • .github/ISSUE_TEMPLATE/config.ymlasset191 bytes
  • .github/ISSUE_TEMPLATE/method-feedback.ymlasset823 bytes
  • COMMERCIAL-USE.mddoc882 bytes
  • CONTRIBUTING.mddoc1,580 bytes
  • LICENSEasset1,149 bytes
  • README.en.mddoc5,203 bytes
  • README.ja.mddoc6,045 bytes
  • README.mddoc4,818 bytes
  • SKILL.mdcore8,332 bytes
  • SKILL.mdcore8,332 bytes
  • SKILL.mdcore8,332 bytes
  • SKILL.mdcore8,332 bytes
  • SUPPORT.mddoc770 bytes
  • VERSIONasset6 bytes
  • agents/openai.yamlasset337 bytes
  • references/evidence-confidence.mddoc4,933 bytes
  • references/experience-audit.mddoc1,790 bytes
  • references/measurement.mddoc1,873 bytes
  • references/onboarding-model.mddoc2,495 bytes
  • references/report-template.mddoc3,150 bytes
  • references/voice.mddoc5,140 bytes
  • tests/cases.mddoc3,674 bytes
  • tests/check_contract.pyruns4,777 bytes
  • tests/synthetic-output-example.mddoc5,326 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

  • saas-onboarding-diagnosis

Repository facts

License
No license detected
Created
Sep 3, 2026
Last pushed
Sep 4, 2026
Forks
1
Open issues
0
Project activity
Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 3 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 46 signals by file

.github/ISSUE_TEMPLATE/config.yml

  • Network accessline 2
    contact_links:   - name: Private or paid diagnosis     url: https://mengqi.cc
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    - name: Private or paid diagnosis     url: https://mengqi.cc     about: Do not post confidential product or client information in a public issue.
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    url: https://mengqi.cc

COMMERCIAL-USE.md

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    The CC BY-NC 4.0 license permits attributed non-commercial learning, research, modification, and sharing. Uses primarily intended for commercial advantage or monetary compensation require separate permission. Examples include bundling the s
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    - Commercial permission and consulting: <https://mengqi.cc>
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    - X: <https://x.com/daqi029>

LICENSE

  • Network accessline 25
    Full legal code: https://creativecommons.org/licenses/by-nc/4.0/legalcode
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    https://creativecommons.org/licenses/by-nc/4.0/legalcode
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    Commercial permission: https://mengqi.cc
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    https://mengqi.cc

README.en.md

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    It audits the candidate Aha Moment, time to value, blank states, the first real task, necessary versus avoidable setup, trust, recovery, invitation timing, and activation measurement. It complements [`saas-growth-diagnosis`](https://github.
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    Use $saas-onboarding-diagnosis to inspect https://example.com.
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    - [User activation diagnosis](https://blog.mengqi.cc/p/saas-growth-diagnosis-user-activation-diagnosis-why-percentage-of-registered-users-never-used-your-product) (Chinese)
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    - [Notion onboarding: from a blank page to continued use](https://blog.mengqi.cc/p/notion-onboarding-how-to-drive-retention-from-blank-page-to-continuous-use) (Chinese)
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    Created by Mengqi Pei ([@daqi029](https://x.com/daqi029)).
  • Network accessline 68
    - X: [@daqi029](https://x.com/daqi029)
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    - Xiaohongshu: [Mengqi Pei](https://www.xiaohongshu.com/user/profile/631fd949000000002303cafc)
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    - Chinese newsletter: <https://blog.mengqi.cc>
  • Network accessline 71
    - Paid SaaS diagnosis, focused optimization, and advisory: <https://mengqi.cc>

README.ja.md

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    候補となる Aha Moment、Time to Value、空白状態、最初の実タスク、必要または不要な設定、信頼、エラー回復、招待のタイミング、アクティベーション計測を確認します。[`saas-growth-diagnosis`](https://github.com/Daqi029/saas-growth-diagnosis) がファネル全体から優先箇所を決めるのに対し、この Skill は onboarding / activation を深く診断します。
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    $saas-onboarding-diagnosis を使って https://example.com を確認してください。
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    - [ユーザーアクティベーション診断](https://blog.mengqi.cc/p/saas-growth-diagnosis-user-activation-diagnosis-why-percentage-of-registered-users-never-used-your-product)(中国語)
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    - [Notion の onboarding:空白ページから継続利用へ](https://blog.mengqi.cc/p/notion-onboarding-how-to-drive-retention-from-blank-page-to-continuous-use)(中国語)
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    作者:Mengqi Pei([@daqi029](https://x.com/daqi029))
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    - X:[@daqi029](https://x.com/daqi029)
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    - 小紅書:[Mengqi Pei](https://www.xiaohongshu.com/user/profile/631fd949000000002303cafc)
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    - 中国語ニュースレター:<https://blog.mengqi.cc>
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    - 有料 SaaS 診断、個別最適化、長期アドバイザリー:<https://mengqi.cc>

README.md

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    它重点检查候选 Aha Moment、Time to Value、空白状态、首次任务、必要与多余的设置、信任、错误恢复、邀请时机和激活指标。它是 [`saas-growth-diagnosis`](https://github.com/Daqi029/saas-growth-diagnosis) 的专项深挖版本:总诊断负责判断增长漏斗该先修哪里;这个 Skill 负责在 onboarding / activation 已经成为重点时深入拆解。
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    请用 $saas-onboarding-diagnosis 检查 https://example.com。
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    - [用户激活率诊断:为什么 90% 的注册用户从来没真正用过你的产品](https://blog.mengqi.cc/p/saas-growth-diagnosis-user-activation-diagnosis-why-percentage-of-registered-users-never-used-your-product)
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    - [Notion 的 Onboarding:如何从空白页驱动留存](https://blog.mengqi.cc/p/notion-onboarding-how-to-drive-retention-from-blank-page-to-continuous-use)
  • Network accessline 66
    作者:Mengqi Pei([@daqi029](https://x.com/daqi029))
  • Network accessline 68
    - X:[@daqi029](https://x.com/daqi029)
  • Network accessline 69
    - 小红书:[Mengqi Pei](https://www.xiaohongshu.com/user/profile/631fd949000000002303cafc)
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    - Newsletter:<https://blog.mengqi.cc>
  • Network accessline 71
    - 付费 SaaS 增长诊断、专项优化与长期顾问:<https://mengqi.cc>

SUPPORT.md

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    For private SaaS data, a full-product diagnosis, focused optimization, or ongoing advisory, contact Mengqi Pei at <https://mengqi.cc>. Paid work is optional and is not required to understand the public skill's conclusions.

references/onboarding-model.md

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    - Mengqi Pei, [User activation diagnosis](https://blog.mengqi.cc/p/saas-growth-diagnosis-user-activation-diagnosis-why-percentage-of-registered-users-never-used-your-product)
  • Network accessline 29
    - Mengqi Pei, [Notion onboarding: from a blank page to continued use](https://blog.mengqi.cc/p/notion-onboarding-how-to-drive-retention-from-blank-page-to-continuous-use)

references/report-template.md

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    --- 诊断框架由 Mengqi Pei 创建,源自 30+ SaaS 增长诊断案例:<https://blog.mengqi.cc>
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    诊断框架由 Mengqi Pei 创建,源自 30+ SaaS 增长诊断案例:<https://blog.mengqi.cc>
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    Add a localized paid-service handoff only when the next decision genuinely requires private analytics, recordings, interviews, full-product access, cross-source interpretation, or continued experiment design. Link to <https://mengqi.cc>, na

tests/check_contract.py

  • Executable scriptline 1
    #!/usr/bin/env python3

tests/synthetic-output-example.md

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    --- Diagnosis framework created by Mengqi Pei from 30+ SaaS growth diagnoses: <https://blog.mengqi.cc>
  • Network accessline 95
    Diagnosis framework created by Mengqi Pei from 30+ SaaS growth diagnoses: <https://blog.mengqi.cc>

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 39 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.