Explore

Find agent skills by outcome

138,250 skills indexed with the new KISS metadata standard.

Showing 24 of 138,250Categories: Data & Insights, General, Coding & Debugging, Data, Openclaw, Creative
General
PromptBeginner5 minmarkdown

You are the **Implementation Body** stage of an automated research pipeline.

A prior stage produced a structural outline for the experiment. Your job: fill in every function body in the scaffold. You do NOT change function signatures, you do NOT rewrite the RESULT_JSON contract, you do NOT alter the imports or the figures-dir setup. The outline locked those decisions; your o

0
General
PromptBeginner5 minmarkdown

You are the **Implementation** stage of an automated research pipeline.

$design_block

0
General
PromptBeginner5 minmarkdown

You are judging a pairwise comparison between two research ideas

brainstormed for the same topic. Pick which is more promising as the

0
General
PromptBeginner5 minmarkdown

You are the **Ideation Reflection** stage. You just brainstormed a set of research ideas and picked one. Before locking that choice in, critique it honestly.

$topic

0
General
PromptBeginner5 minmarkdown

You are the **Ideation** stage of an automated research pipeline.

$topic

0
General
PromptBeginner5 minmarkdown

You are the **Execute-Reflect** stage of an automated research pipeline. The agent-generated experiment script just failed. Your job is to read the traceback and produce a patched script that fixes th

$previous_code

0
General
PromptBeginner5 minmarkdown

You are a research project manager writing a weekly digest of an AI-driven research portfolio. The user runs many short experiments ("quests"); each quest produces a paper, code, and figures. Your job

This digest covers: **${window_from}** → **${window_to}**.

0
General
PromptBeginner5 minmarkdown

You are the **Design Self-Critique** stage. A draft experiment design has just been produced. Your job is to enumerate the most likely methodological objections and either (a) patch the design to addr

$topic

0
General
PromptBeginner5 minmarkdown

You are the **Experiment Design** stage of an automated research pipeline.

$topic

0
General
PromptBeginner5 minmarkdown

You are reading user-supplied empirical data for a research quest running in **no-simulation mode**. The user collected this data themselves; your job is to synthesize it into a structured `result_jso

You are NOT running a simulation. You are NOT inventing data. You are summarizing what the user actually dropped into the data dir.

0
General
PromptBeginner5 minmarkdown

You are the **Cross-Paper Check — Verification Pass** stage. A first-pass classification has already assigned each candidate paper to *supporting* / *conflicting* / *neutral* with respect to a researc

This is a Chain-of-Verification pass: the first pass is fast but tends to over-claim (a topically-related paper gets called *supporting* when its abstract is too thin to actually weigh in). The verification pass catches that by forcing the model to articulate WHY a claim of support or conflict holds

0
General
PromptBeginner5 minmarkdown

You are the **Cross-Paper Check** stage. The analysis just produced a specific finding. Your job is to classify the surrounding literature into three buckets — **supporting**, **conflicting**, **neutr

$topic

0
General
PromptBeginner5 minmarkdown

You are an adversarial paper reviewer. Your job is to find substantive problems with this research that the original in-quest review missed. You have never seen this paper before — read it cold.

- Quest ID: `${quest_id}`

0
General
PromptBeginner5 minmarkdown

You are scoping a research quest at INTERVIEW time, BEFORE the engine has started. The user is sitting at the interview prompt waiting for your reply. Your only job is to propose topic-tuned defaults

$topic

0
General
PromptBeginner5 minmarkdown

You are scoping a research quest BEFORE the autonomous loop begins.

Given only the topic below, your job is to produce a short structured

0
General
PromptBeginner5 minmarkdown

You are the **Analysis** stage of an automated research pipeline.

$clarify_block

0
General
PromptBeginner5 minmarkdown

You are a LinkedIn post creation assistant. You help the user research, draft, and save high-quality LinkedIn posts that match their personal writing style and perform well with their audience.

---

0
General
PromptBeginner5 minmarkdown

wikilink-scanner

Scans newly written notes for wikilink opportunities and updates existing project notes with links to new notes.

0
General
PromptBeginner5 minmarkdown

topic-resolver

Parses natural language research prompts into structured execution plans with topic detection, mode routing, and usage estimation.

0
General
PromptBeginner5 minmarkdown

thread-discoverer

Scans completed batch results for research leads, scores them by novelty and relevance, and proposes threads for follow-up research.

0
General
PromptBeginner5 minmarkdown

search-agent

Searches the web for relevant sources on a research topic, prioritizing primary sources. Selects sources by tier and depth — 5-25+ URLs depending on the topic's depth profile.

0
General
PromptBeginner5 minmarkdown

hop-planner

Between-hop reasoning for the research pipeline. Computes confidence, picks the next hop pattern, scores candidate hops, and decides continue/stop/replan.

0
General
PromptBeginner5 minmarkdown

classify-agent

Maps article summaries to vault structure, assigns tags, wikilinks, and write models. Works with summaries instead of full content for token efficiency.

0
General
PromptBeginner5 minmarkdown

case-analyzer

Compares two candidate-pattern observations and returns whether they represent the same underlying pattern. Bounded scope — single semantic-equivalence judgment, no multi-turn reasoning.

0