BUNDLE Security scanned4 skills

    Explore & Validate Pack

    Start your research on solid ground. This pack covers the two steps that decide whether a project is worth doing at all: understanding the field and proving your idea is new.

    Included (4 skills):

    1. literature-discovery: discover and map the scientific literature for any topic.
    2. state-of-the-art: synthesize collected papers into a narrative review.
    3. research-gap: identify the unanswered questions the community has missed.
    4. novelty-analysis: validate that your contribution is genuinely new, not incremental.

    Workflow: discover the field → synthesize the state of the art → find the gap → confirm your novelty. In one afternoon you go from "I have a topic" to "I have a defensible, original contribution."

    Works with: Claude Code, Cursor, Codex CLI, GitHub Copilot, and 20+ agents.
    One payment, lifetime access. Free updates.

    Pricing breakdown

    • literature-discovery $0
    • state-of-the-art $7
    • research-gap $7
    • novelty-analysis $6
    • Total $20 → Bundle $19
    12 installs96 views

    Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.

    Alexandra La Cruz
    Created by
    Alexandra La Cruz
    $15$20
    Save 25% · $5

    One payment, lifetime access. 4 skills unlock instantly in your library.

    30-day refund guarantee

    Instant unlock in your library

    Free updates from the creator

    What's included

    4 skills

    See it in action

    literature-discovery

    literature-discovery

    Example session with this skill installed

    Use the literature-discovery skill to map recent research on retrieval-augmented generation (RAG) for enterprise knowledge bases, focusing on the last 5 years and Q1/Q2 venues.

    • Read your context and instructions
    • Compiled the literature-discovery

    Research clusters

    ClusterFocusLeading venuesMaturity
    Retrieval architecturesDense/sparse hybrid, late interactionSIGIR, ACL, EMNLPMature
    Enterprise groundingDomain adaptation, access controlKDD, VLDB, ICMLGrowing
    Evaluation & benchmarkingRAG-specific metrics, human evalACL, TACLEmerging
    Long-context vs RAGContext windows replacing retrievalICLR, NeurIPSHot

    Seminal papers

    1. Lewis et al. (2020) — Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (foundational)
    2. Karpukhin et al. (2020) — Dense Passage Retrieval
    3. Izacard & Grave (2021) — Fusion-in-Decoder
    4. Gao et al. (2023) — RAG survey + benchmarks (ACL)
    5. Asai et al. (2024) — Self-RAG / adaptive retrieval

    Leading authors, datasets & metrics

    • Institutions: Meta AI, Stanford, U. Waterloo, Berkeley, Tsinghua
    • Datasets: Natural Questions, MS MARCO, KILT, HotpotQA, FinanceBench
    • Metrics: EM/F1, recall@k, faithfulness, citation precision

    Trend

    Shift from "bigger retriever" toward

    adaptive retrieval + factual-grounding evaluation, especially for private enterprise corpora.

    Next steps

    • Run state-of-the-art on the 8 seminal papers for a narrative review.
    • Run research-gap to confirm the evaluation gap before committing.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    12 installs

    Downloaded by developers to date

    30-day refund

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    Frequently asked questions

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