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概要と使いどころ

firecrawl

無料

Any live-web task via the Firecrawl CLI — including ordinary web research: searching the web, reading or extracting pages, gathering sources, discovering site URLs, bulk extraction, downloading a site, change alerts, or pages needing clicks/login — web only; local files route to firecrawl-parse. For US legal or regulatory questions use gov; for papers use firecrawl-research-index; for library, API, error, or bug questions use firecrawl-developer-index.

日本語の概要は準備中です。原文の説明を表示しています。

firecrawl/cli6532026年10月16日 更新

Find the papers that answer a research query in Firecrawl's research paper index — a corpus of paper abstracts whose largest share is biomedical and life-science literature (PubMed, bioRxiv, medRxiv), alongside arXiv preprints in CS, physics, and math — using semantic search, semantic and structural expansion, and in-body verification. Use this skill for literature-finding and paper-retrieval tasks of any kind, including clinical, biomedical, drug, gene, disease, and other life-science questions, whether the answer is a single paper or a full multi-paper set. The index is reached only through the `firecrawl_research_*` MCP tools or the `firecrawl research` CLI subcommands. Calling `firecrawl_search` with its `categories` option set to `["research"]` is a different feature — it filters ordinary web search to research-affiliated websites (the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites) and returns page results from them, without querying the paper records in this index.

日本語の概要は準備中です。原文の説明を表示しています。

firecrawl/cli6532026年10月16日 更新

Use when you want phase research without planning: to investigate before deciding a phase is feasible, or to re-research after a plan already exists. Standalone command; most workflows should use /gsd-plan-phase instead.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

Use when the current milestone has shipped and it is time to scope the next one, or when the user asks to start a new milestone. Updates PROJECT.md, then runs questioning, research, requirements, and roadmap.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

gsd-fast

無料

Use for a trivial task the user can describe in one sentence: a typo, config change, small refactor or forgotten commit. Executes inline with no subagents and no PLAN.md; anything needing research or planning belongs to /gsd-quick.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

Use when starting GSD in a repo that has no .planning/ yet, or the user wants a new project set up. Questioning, optional research, requirements, and roadmap produce .planning/PROJECT.md, REQUIREMENTS.md, ROADMAP.md, and STATE.md.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

Use when the user wants to think through an idea before committing to a plan, e.g. /gsd-explore auth strategy. Runs a Socratic session, optionally spawns research, then routes output to notes, seeds, requirements, or new phases.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

Use after a phase has been discussed, or when the user asks for a PLAN.md for a roadmap phase. Researches, spawns gsd-planner, verifies with gsd-plan-checker, and iterates; supports --gaps, --prd, --skip-research.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

Your education and edtech brain trust. 25 named personas across 7 cells covering learning science, curriculum design, AI tutoring, higher-ed strategy, edtech platforms, assessment, and workforce development.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

coco-ship

無料

Use when finished work needs to reach a coco-managed repository (coco-research/coco or similar) — verifies branch state, commits, pushes through the corporate DLP guard only when actually needed, opens a PR against main, waits for CI, and reports the result. Never merges, never pushes to main directly.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco6522026年10月16日 更新

Weekly. Scores the week from the ledgers with a source path beside every number and never writes a number it did not count in a file this run. It names exactly two things and files both as cards, the one fix worth doing next week and the one thing to stop, and it replays every learned browser flow once, read only, so a drifted selector is found on a Friday rather than on a Tuesday morning a routine needed it.

日本語の概要は準備中です。原文の説明を表示しています。

markfulton/ai-employees6252026年10月15日 更新

Runs once by hand on the first day and once a month after that. On the first run it researches the business from its own public surfaces, reads the member's own already published posts, and builds the voice file from real samples rather than from an idea of a voice, then writes the plan, creates the proof inventory, seeds the opening slots, and registers the recurring jobs. On every monthly run it re reads the evidence the kit produced and rebuilds only what the evidence contradicts. It publishes only where you released the channel, never replies, spends only where you released it, and it never enters a credential.

日本語の概要は準備中です。原文の説明を表示しています。

markfulton/ai-employees6252026年10月15日 更新

Runs once by hand on the first day and once a month after that. On the first run it researches the business from its own public surfaces before asking anything, writes the strategy folder, seeds the launch board, builds the tailored command center, reconciles the schedule table, and registers the recurring jobs. On every monthly run it re-reads the evidence the kit produced, applies what changed, reconciles drift, and rebuilds. It holds every outbound action unless you released the channel, and it never enters a credential.

日本語の概要は準備中です。原文の説明を表示しています。

markfulton/ai-employees6252026年10月15日 更新

Runs once by hand on the first day and once a month after that, light browser lane. On the first run it researches the business from its own published surfaces before asking anything, writes the strategy folder, creates the ledgers, seeds the opening cards, builds the single page dashboard, reconciles the schedule table, and registers the eight recurring jobs. On every monthly run it re-reads a month of the kit's own evidence, applies what changed, adds a tab for a channel that gained volume, rebuilds, and reconciles every registered job against the table. It holds every outbound action unless you released the channel, and it never enters a credential.

日本語の概要は準備中です。原文の説明を表示しています。

markfulton/ai-employees6252026年10月15日 更新

Weekdays, browser only when the card needs one. Takes the next ready cards off the launch board and does the work each one names: stages copy into the dashboard, fills a directory or press form and leaves it open in its tab, verifies a setup, packages a handoff, or researches its own next targets. It ticks its own card the moment it has verified the file that closes it. It submits only where you released the channel, sends only where you released the channel, spends only where you released it, and never touches a credential.

日本語の概要は準備中です。原文の説明を表示しています。

markfulton/ai-employees6252026年10月15日 更新

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".

日本語の概要は準備中です。原文の説明を表示しています。

anthropics/life-sciences6212026年8月15日 更新

Minimal MDA source demonstrating relationship-graph footnotes and metadata.mda.* MDA-extended fields. Use as a reference fixture when learning the MDA source format.

日本語の概要は準備中です。原文の説明を表示しています。

sno-ai/mda6212026年5月26日 更新

Gathers knowledge from web and files, cross-references across multiple sources, and produces cited research documents. Use when investigating technologies, patterns, or decisions that need evidence backing.

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6202026年9月16日 更新

Research output templates, distillation workflow, and quality standards for evidence-driven research

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6202026年9月16日 更新

Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6202026年9月16日 更新

Critique dimensions and scoring for research document reviews

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6202026年9月16日 更新

Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6202026年9月16日 更新

Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6202026年9月16日 更新