Research & Search

timsmykov Bundle

Turn an Evidence Lab meeting transcript, recording note, or rough minutes into a source-bounded summary and save the finished page in the canonical Notion meeting register. Use when asked to summarize, capture, document, or file an Evidence Lab meeting, including course, consulting, product, or team discussions. Do not use for ordinary meetings outside Evidence Lab, transcript extraction alone, or task-board intake without a meeting summary.

timsmykov Bundle

Explain the complete Evidence Lab workflow bundle and confirm that the researcher wants both research design and literature or publication support. Use only when the researcher explicitly asks for the full research cycle; focused planning, review, or writing requests should load the narrower pack directly.

huangqianqian120 Skill

AI-powered web search, extraction, and research. Use when user wants to search the web, extract content from URLs, crawl websites, or do deep research on a topic.

huangqianqian120 Skill

Expert assistant for using litdb - a literature and document database for scientific research

huangqianqian120 Skill

用户研究框架

allyoushawn Skill

Surveys informal and industry sources for a given topic — covering Hacker News, engineering blogs, ProductHunt, Medium, Substack, X (indirect), and Quora. Complements literature-survey (which targets academic papers) with community signal, practitioner discourse, and tooling trends. Use when the user wants a community survey, practitioner signal, tooling trends, or runs /community-survey <topic>. This is the one-shot variant; to track a topic's community signal over time (trajectory queries — what shifted, went quiet, or is new across runs) use community-survey-nlm instead.

allyoushawn Skill

Literature Survey Skill - performs a structured literature survey for a given topic and saves outputs under the paper reading repo's literature-survey/[topic]/ folder. Invoke with /literature-survey <topic> [topic-slug]. Use this lightweight one-shot variant for a single survey; for ~95% token savings and persistent topic memory across runs (cross-run trajectory queries over a NotebookLM notebook) use literature-survey-nlm instead.

allyoushawn Skill

NotebookLM-backed literature survey skill. Token-efficient alternative to literature-survey: uses NotebookLM notebook_query for per-paper analysis (~95% token savings). Invoke with /literature-survey-nlm <topic> [topic-slug].

desplega-ai Bundle

Implementation planning skill. Creates detailed technical plans through interactive research and iteration.

desplega-ai Skill

Structured critique of research, plan, and brainstorm documents for completeness, gaps, and quality.

desplega-ai Bundle

One-shot question answering using the research process. Answers inline without generating documents, then offers handoff to brainstorm or research.

desplega-ai Bundle

Comprehensive codebase research skill. Documents codebase as-is by spawning parallel sub-agents and synthesizing findings into research documents.

desplega-ai Bundle

Interactive exploration of ideas through Socratic Q&A. Produces progressive documents that serve as lightweight pre-PRDs feeding into research.

desplega-ai Skill

Personal knowledge management expert for the brain CLI. Use when users want to capture notes, search their knowledge base, or manage their second brain.

desplega-ai Skill

Two-axis code review of a diff — Standards (is the code well built?) and Spec (does it actually solve the stated problem?) — run as parallel sub-agents and reported separately, never merged. Use when reviewing implementation output (a phase, a wave, a branch, a PR), when the user says "review the code", "review the diff", "review this phase", or when another desplega skill (implementing, v-implementing, verifying, delegate-work) calls for a per-phase or final code review. For reviewing DOCUMENTS (plans, research, brainstorms), use desplega:reviewing instead.

steven65026502 Bundle

Maintain a layered issue ledger for coding, research, debugging, or project work. Use when the user asks Codex to record, organize, inspect, update, or summarize problems, solved items, unresolved issues, blockers, risks, evidence, decisions, verification results, or next steps across a project or repeated sessions.

steven65026502 Bundle

Operate an installed research-hub CLI for source ingest, Zotero/Obsidian/NotebookLM workflows, cluster inspection, and vault maintenance. Use when the user explicitly asks to run a research-hub workflow or work in a repository configured for it. First verify the CLI and project configuration; otherwise explain the missing prerequisite instead of simulating success.

steven65026502 Bundle

Run a guided five-part study-design interview and write .research/design_brief.md. Use only when the user explicitly asks for a Socratic design session, a design brief, or to be walked through research framing. For a simple research-method question, answer directly without forcing the interview or writing files.

steven65026502 Bundle

Turn a user-provided paper list, Zotero collection, or Obsidian cluster into a comparison matrix at .research/literature_matrix.md. Use only when the user explicitly asks to compare papers by common dimensions or identify central papers; do not replace per-paper summaries or claim access to sources that are unavailable.

steven65026502 Bundle

Inspect a research repository and write a compact `.research/` workspace manifest (project_manifest.yml, experiment_matrix.yml, data_dictionary.yml) so future AI sessions can orient themselves without rescanning the whole repo. Use when the user asks to "compress this project context", "create a research manifest", or "save the project context for future agents".

kalyvask Skill

Finds specific, genuine "like you" hooks between the writer and a cold-outreach target — the bridges that turn a generic email into one that feels hand-written. Takes the recipient dossier and the writer's profile (about-me.md) and surfaces ranked angles. Use after recipient-research is done, before drafting. Triggers on "like you," "find a connection," "what do we have in common," "common ground."

kalyvask Skill

Builds a research dossier on a cold-outreach target before drafting. Pulls LinkedIn, podcasts, blog posts, news, portfolio (if VC), and any specific personal details that would let an email feel hand-written rather than templated. Use when the user says "I want to email X" or "research Y before I write to them" or "build a dossier on Z." Triggers on "research," "dossier," "before I email," "background on," "find out about."

kalyvask Skill

When pitching an idea, researches the graveyard — companies that tried something similar in the past 5–25 years and failed, what specifically killed them, and which operators or investors lived through those failures and would be valuable to talk to. Use before pitching to a VC, a customer, or a hiring manager — the graveyard reframes the pitch from "this is a great idea" to "this is a great idea AND I know why every previous attempt died." Triggers on "research the graveyard," "who tried this before," "previous attempts," "failed companies in this space," "post-mortem," "why did X fail."

charliedream1 Bundle

券商研报分析助手，聚焦"研报获取→结构化提取→多机构观点对比→风险识别→决策辅助"。使用时机：汇总个股券商研报、追踪行业研报、对比多机构观点、识别卖方利益冲突、验证研报时效性。默认数据源为东方财富研报中心公开接口（无需 API Key）。

charliedream1 Skill

Factor research framework with IC/IR analysis, quantile backtesting, and factor combination. Suitable for cross-sectional factor evaluation across multiple instruments.

rabbit-ivan Bundle

当用户要写出高质量 goal 提示词，把模糊、战略性、多步骤、证据不足或容易跑偏的请求整理成可执行、可验证、可暂停的 Goal Contract 时使用。适用于写 goal、优化任务提示词、明确 done/success criteria、deep research 后定战略、大改前 inventory、修复跑偏计划、为 Codex 或 Claude Code 准备执行任务；默认只生成 goal，不执行 goal。

vodailocz Skill

Perform triangulated cognitive research combining SQLite memory, GitHub 10k+ stars patterns, and ToT DAG benchmarking before critical architectural decisions. Automatically triggers subagent research escalation when confidence is low (<0.70). Keywords: research, benchmark, github, memory, triangulation, grounding, best-practices, escalation

hk-hub Skill

Internal guidance for composing prompts that Pi runs (DeepSeek by default) handle reliably for coding, review, diagnosis, and research tasks

hk-hub Bundle

Use when looking up journal or magazine name abbreviations, converting between full names and ISO 4/MEDLINE abbreviations, processing BibTeX files for journal name standardization, or answering questions about 期刊缩写/杂志缩写. Triggers on "journal abbreviation", "abbreviate journal", "journal name", "期刊缩写", "杂志缩写", "ISO 4", "LTWA", "BibTeX journal". PROACTIVELY USE when user mentions citation formatting, reference list preparation, or manuscript submission to specific journals.

hongmaple0820 Bundle

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.

ccdawn Bundle

Use when the user explicitly requests an open-ended, persistent iteration policy with evidence-based next-step selection and stop conditions, and no domain-specific research, score, development, or coordination owner already controls the loop.

ccdawn Bundle

Use when repeated work is governed by an explicit metric, active baseline, candidate search, promotion rule, leaderboard feedback, or submission iteration; do not use for a one-off research check that its current owner can execute directly.

ccdawn Bundle

Use when AI/ML research engineering needs baseline reproduction, hypothesis-driven experiments, ablations, evaluation design, findings synthesis, research direction selection, plateau recovery, or a reproducible loop from a paper/repository/research question to evidence-backed results.

ccdawn Bundle

Use when an AI/ML research result, baseline promotion, ablation conclusion, benchmark claim, paper claim, surprising finding, or high-cost next experiment needs an evidence-focused rigor review before it is accepted, generalized, published, or used to redirect the research program.

ccdawn Bundle

Use when a complex feature has an unresolved reuse decision and external projects, libraries, standards, examples, or in-project modules could materially change architecture, dependencies, scope, or implementation; do not use for routine work already covered by local patterns or standard platform capabilities.

ccdawn Bundle

Use when coordinating an end-to-end research competition or benchmark program across multiple lifecycle stages such as rules, data, baseline, experiments, claims, and submission; use a stage owner directly for isolated work.