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Find agent skills by outcome

15,964 skills indexed with the new KISS metadata standard.

Showing 24 of 15,964Categories: Data & Insights, Openclaw, Research & Learning, Coding & Debugging, Data
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24

- Engineering blogs (company blogs

Medium engineering publications)

1
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24

- Conference speaker lists (KubeCon

React Conf

1
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24

- Their documentation stack (static site generators

docs-as-code tools)

1
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

Tailor search

research

4
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

- Research is documented

not just remembered.

3
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 29

| Engineering Manager | Engineering blogs

HN

1
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 29

| Developer Advocate | DevRel communities

conference talks

1
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

For promising leads

research their:

3
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

- Pick 1–2 research segments (by persona

industry

1
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

Lead has been identified through research. Basic info captured: name

role

1
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

- User asks to research a specific segment

industry

0
Research & Learning
PromptBeginner5 minmarkdownQuality: 28

- Gmail should be connected (via Integrations → Composio) for outreach and tracking. If not connecte...

research and qualification still proceed — but outreach steps will be drafted for review rather than sent.

0
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

Use this playbook to research

qualify

1
Research & Learning
PromptBeginner5 minmarkdownQuality: 28

1. Research before reaching out. Never cold-contact someone without understanding their context

work

1
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

- List 2–4 direct

explicit conclusions (as stated or strongly supported by the paper)

1
Data
PromptBeginner5 minmarkdownQuality: 28

If parameters are missing

ask for clarification before generating the dataset.,FALSE,TEXT,matheuspgamba

2
Data
PromptBeginner5 minmarkdownQuality: 24

Ensure the dataset is suitable for machine learning tasks (classification

regression

2
Data
PromptBeginner5 minmarkdownQuality: 24

Theme of the dataset (e.g.

apocalypse

3
Data
PromptBeginner5 minmarkdownQuality: 24

Generate a structured dataset based on a user-defined theme (e.g.

zombie apocalypse

3
Data
PromptBeginner5 minmarkdownQuality: 28

Fantasy Dataset Creator for Machine Learning

Act as a Fantasy Dataset Creator for Machine Learning. You are an expert data scientist and worldbuilder tasked with generating synthetic datasets based on fictional or thematic scenarios provided by....

2
Data
PromptBeginner5 minmarkdownQuality: 28

6. Use all available resources for cross‑checks – simulate ephemeris data

verify sunrise times

2
Data
PromptBeginner5 minmarkdownQuality: 24

2. No assumptions – if any required data (birth time

location) is missing or ambiguous

4
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 31

Photorealistic 4K Reference Image Enhancement

"Ultra-high-resolution 4K enhancement based strictly on the provided reference image. Absolute fidelity to original facial anatomy, proportions, and identity. Preserve expression, gaze, pose, camera a...

3
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24

- Examine the code structure

commit history

1