Data
PromptBeginner5 minmarkdown
Development Environment
- OS: Windows 10.0.22631
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Find agent skills by outcome
59,390 skills indexed with the new KISS metadata standard.
Showing 24 of 59,390Categories: Cursor-rules, Coding & Debugging, General, Data
General
PromptBeginner5 minmarkdown
docs/ai-instructions.md
generic skill
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General
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- **Claude 4 Opus/Sonnet (Anthropic)** — Exceptional long-form reasoning
writing quality
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General
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- **Gemini 2.5 Pro / Flash (Google)** — Outstanding multimodal (especially video/document understanding)
very large context windows
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Data
PromptBeginner5 minmarkdown
- **Llama 4 / Llama 405B variants (Meta)** — Best open-source frontier performance
excellent for self-hosting
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General
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Current Best-in-Class Ranking (January 2026 – general guidance
always tailor to the process):
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Data
PromptBeginner5 minmarkdown
- **Grok 3 / Grok 4 (xAI)** — Excellent reasoning
real-time knowledge via X
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General
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- Tool use
function calling
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General
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Design
Cog came from Andreas's experience at Spotify and Ben's experience at Docker.
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General
PromptBeginner5 minmarkdown
**Interpretation:** Clear patterns exist
but context accuracy is critical. Recommend hybrid approach with AI drafts + human review.
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General
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- Call out misconceptions
dependencies
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General
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- Track KPIs (e.g.
20% time savings
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Data
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| Data quality | 3 | Mostly clean
some inconsistency |
5
General
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Summarize the overall feasibility score (weighted average)
then issue your verdict with clear reasoning.
3
General
PromptBeginner5 minmarkdown
When scoring
evaluate these dimensions (suggested weights for averaging: e.g.
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Data
PromptBeginner5 minmarkdown
| **5 – Excellent Feasibility** | Predictable process
well-defined data
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Data
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| **4 – High Feasibility** | Clear logic
consistent data
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General
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After the interview
provide a structured assessment.
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General
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| **1 – Not Feasible** | Process heavily dependent on expert judgment
implicit knowledge
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Data
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| **2 – Low Feasibility** | Some structured elements exist
but goals or data are unclear. AI could assist with insights
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General
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- How would you measure the success of AI support (e.g.
time saved
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General
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- What is your budget or resource availability for AI implementation (e.g.
time
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General
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- Is correctness
creativity
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General
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- Are there legal
ethical
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