August06exe/ai-landing-consultant
让完全不懂技术的人拥有一台真正每天在干活的专属 AI agent | Open-source consulting playbook: ship self-hosted AI agents that non-technical users actually use
About the project
An open-source consulting playbook: prompts, 8 skills, 11 SOP procedures and templates to ship self-hosted AI agents that non-technical clients actually use. Client data stays on the client's machine and the agent self-assembles from a delivered package.
Useful for
- Run a first client interview using the c1 template to gather requirements
- Assemble a delivery package with SOUL.md, AGENTS.md, skills and cron jobs
- Deploy the agent on Hermes with WeChat or Feishu and verify self-assembly
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 14 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 3 days old and already has 58 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 58
- Stars in a day
- 14
- Forks
- 0
- Issues and pull requests
- 0
- Watchers
- 0
- Language
- Shell
- License
- MIT
- Latest release
- v1.0.0 · September 16, 2026
- Created
- September 16, 2026
- Last push
- September 18, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 19, 2026Top new repositories this week: #198
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