Research & Search

thkt Bundle

critic-design による敵対的批判を伴う設計探索。生き残った案を構造化 plan にまとめ、自己点検して呼び出し元に返す。plan の永続先は issue の Plan 節が唯一。計画意図のないコードベース調査には使わない (代わりに /research)。

thkt Bundle

過去の closed PR / issue と .claude/workspace/research/ の調査結果から繰り返しの共通項を抽出し、最新コードと突き合わせて docs/wiki/ に PR で提案する。

thkt Bundle

プロジェクトと技術的な質問を調査する。発見事項は結論ではなく、明示的なソース付きで反証にさらすべき主張として扱う。Phase 6 では統合が確定する前に advisor がそれへ反論する。設計計画や plan 生成には使わない (代わりに /think を使う)。

kbanc85 Bundle

Deep research on a topic with web sources, memory integration, and stored findings. Also handles quick context-aware lookups when current information would improve the conversation. Triggers on "research this", "look into", "find out about", "dig into", "look up", "what's new with", "check current", "any updates on", "latest info".

kbanc85 Bundle

Iteratively improve a local artifact (draft, document, page) by running a hill-climbing loop. The user names the artifact, the evaluator, and the budget. Claudia edits the artifact, scores it, keeps it if better or reverts if worse, repeats. Use when user says "iterate on this", "loop on this until it's better", "run experiments on this draft", "auto-research this", "make this better and don't stop until it's good". Workspace-scoped, never touches live files, no external actions during the loop.

amhuppert Skill

Use to thoroughly understand a software development objective before design & implementation: research, identify ambiguities, ask clarifying questions.

kbanc85 Skill

Summarize Doc

amhuppert Skill

Review the Claude Code changelog and summarize recent changes and their significance.

amhuppert Skill

Create or update an AI-optimized reference document for a tool, library, framework, or API via thorough research.

jwiegley Skill

Resolve NixOS issues using research and sequential thinking. Use when diagnosing or fixing problems on a NixOS host -- failed builds or switches, broken services or modules, configuration errors -- or whenever the user mentions NixOS, nixos-rebuild, or /etc/nixos.

yogsoth-ai Skill

Citation-chain-driven literature survey starting from seed papers. Traces research lineage in both forward (who cited this) and backward (what this cited) directions until saturation. High deep-read ratio (67%). Use when the user already has key papers and wants to find everything connected to them — ancestors, descendants, and branch points.

yogsoth-ai Skill

Precise, targeted investigation of a specific sub-problem — few papers, all read in full depth. High paper-research ratio (50% deep-read rate). Use when the user knows exactly what they need to understand and requires detailed technical analysis with equations, hyperparameters, and specific claims extracted.

yogsoth-ai Bundle

Validate and prioritize starting papers for snowball surveys. Evaluates which seeds will yield the richest citation traces based on citation count, recency, and network position.

yogsoth-ai Skill

Theory-driven literature review for building arguments and frameworks. Flexible, subjective, and narrative-focused — selects evidence strategically to support a thesis. High web-research budget for blogs, opinion pieces, and industry perspectives. Use when the user is writing a position paper, survey introduction, or constructing a coherent narrative around a research theme.

yogsoth-ai Skill

Forward and backward citation tracing tactic — expand paper coverage by tracing citation networks in both directions from seed/key papers. Alternates forward (who cited this) and backward (what this cited) passes until saturation.

yogsoth-ai Skill

Autonomous Literature Survey Engine with 5 research paradigms (scoping, systematic, deep, narrative, snowball). Use this skill whenever a user needs to survey academic literature, conduct a literature review, map a research field, trace citation lineages, or build evidence-based arguments from papers — regardless of how specific or vague their request is. Also use when the user mentions systematic review, PRISMA, snowball sampling, scoping review, or narrative review.

yogsoth-ai Skill

Exhaustive PRISMA-style literature survey — comprehensive coverage of all related work on a specific question. Multi-stage screening, citation chaining, quality assessment, and structured data extraction. Use when the user needs to demonstrate complete literature coverage or conduct rigorous gap analysis.

irahardianto Skill

Structured research protocol for investigating technologies, patterns, and APIs before implementation. Use when exploring unfamiliar technologies, evaluating library options, or documenting technical findings. Covers multi-tool search strategy, research log conventions, and training data fallback honesty protocol.

fabioc-aloha Skill

Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, native memory, or repository handoffs

fabioc-aloha Skill

Prevent fabricated facts, invented APIs, and citation confabulation at the point of generation. Use when generating factual claims, code examples, API references, library names, configuration values, error messages, or citations — anything where 'sounds plausible' is not the same as 'is real'.

drmoisan Skill

Route a repository request through the deterministic orchestration workflow for feature, bug, research, planning, execution, and review handoffs.

drmoisan Skill

Investigate the best implementation approach for a feature or bug by analyzing the codebase and external references, then writing structured findings to artifacts/research/.

dojogenesis Skill

Synthesize multiple research files into actionable insights. Turns raw research into coherent understanding by cross-referencing sources, identifying patterns and contradictions, and producing theme-based synthesis with actionable recommendations.

drmoisan Skill

Deterministic promotion workflow from potential feature/bug entry to issue, branch, active feature folder, and downstream spec/research handoffs. Agent sessions must use the drmCopilotExtension MCP tool surface and record raw promotion receipts under the canonical checkpoint namespace.

baofeng-tech Bundle

Search X/Twitter profiles, tweets, trends, lists, communities, and Spaces through the AIsa relay, then support approved posting workflows with OAuth. Use when the user asks for Twitter research, monitoring, or posting without sharing passwords.

baofeng-tech Bundle

Search X/Twitter profiles, tweets, trends, and approved engagement actions through the AISA relay. Use when: the user asks for Twitter/X research, posting, likes, follows, or related workflows without sharing passwords. Supports read APIs, OAuth-gated posting, and follow or like operations.

baofeng-tech Bundle

Research Twitter/X profiles, tweets, and trends, then take approved engagement and posting follow-through actions through the AIsa relay. Use when: the user needs Twitter/X research plus likes, follows, unfollows, posting, or post-action follow-through without sharing passwords. Supports relay-based reads, OAuth-approved writes, and media-capable posting flows.

opengitcode Skill

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

baofeng-tech Bundle

Research the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search. Returns a ranked, clustered brief with citations. Use when the task needs recent social evidence, competitor comparisons, launch reactions, trend scans, or person/company profiles.

baofeng-tech Bundle

Query real-time and historical equity market data—prices, news, financial statements, metrics, analyst estimates, insider and institutional activity, SEC filings, earnings press releases, segmented revenues, stock screening, and macro interest rates. Use when you need broad public-market research from a single AIsa-backed skill. Use when: the user needs market data, stock analysis, dividend research, or read-only financial data workflows.

baofeng-tech Bundle

聚合最近 30 天的 Reddit、X/Twitter、YouTube、TikTok、Instagram、Hacker News、Polymarket 和 web search 结果. Use when: the user needs recent multi-source research across the last 30 days.

baofeng-tech Bundle

Multi-signal trend forecasting for autonomous agents. Combines prediction market odds, Twitter/X social sentiment, news velocity, and stock market data into a unified trend analysis with confidence scoring. Powered by AIsa — one API key, five data streams. Use when: the user needs X/Twitter research, monitoring, posting, or engagement workflows.

baofeng-tech Bundle

Gmail Lead Desk — standalone sales/CS Gmail skill via the AISA gateway: OAuth connect, scan unread leads, summarize threads, draft template replies (default draft-only), archive with labels. Keywords: Gmail Lead Desk, Gmail, lead desk, sales, customer support, follow-up, unread, inquiry summary, draft reply, archive, OAuth, AISA, connected account, thread_id. Use when: the user needs this workflow's domain-specific automation or guidance.

baofeng-tech Bundle

Twitter/X research, monitoring, watchlists, and OAuth-approved posting through AIsa. Use when: the user needs one flagship Twitter skill for trend tracking, competitor monitoring, timeline analysis, or approved posting without sharing passwords. Supports relay-based reads, watchlists, search, and OAuth-gated text or media posting.

baofeng-tech Bundle

Search X/Twitter profiles, tweets, trends, lists, communities, and Spaces through the AISA relay, then publish approved posts with OAuth. Use when: the user asks for Twitter/X research, monitoring, or posting without sharing passwords. Supports read APIs, authorization links, and media-aware posting.

outfitter-dev Bundle

This skill should be used when creating session handoffs, logging research findings, or reading previous trail notes. Triggers include handoff, session continuity, log note, trail notes, or when ending a session.