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/coco☆ 6252026年10月15日 更新
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/coco☆ 6252026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-sciences☆ 6212026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/mda☆ 6202026年5月26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-employees☆ 6192026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-employees☆ 6192026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-employees☆ 6192026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-employees☆ 6192026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-employees☆ 6192026年10月15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/nWave☆ 6182026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/nWave☆ 6182026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/nWave☆ 6182026年9月16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/nWave☆ 6182026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/nWave☆ 6182026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/nWave☆ 6182026年9月16日 更新
Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
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/nWave☆ 6182026年9月16日 更新
How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
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/nWave☆ 6182026年9月16日 更新
Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test. Kich hoat khi user nhac 'nghien cuu audience', 'tep target', 'nham ai', 'interest targeting', 'chon tep chay ads', 'lookalike tu dau'. Khong dung cho — hieu tam ly va ngon ngu khach hang thi dung skill 09-insight-khach-hang; phan bo ngan sach cho tung tep thi dung skill 54-media-plan.
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。
minhnv0807/ai-business-skills☆ 6142026年9月12日 更新
Use when the user needs to understand customers deeply enough to write copy and pick targeting — consumer versus shopper, JTBD, layered persona, internal monologue, pain map, objection list, journey map, and a customer language bank pulled from real reviews and DMs. Trigger on 'customer insight', 'buyer persona', 'who is my customer', 'what do they actually want', 'jobs to be done', 'why do they hesitate before buying'. Also use when the user cannot explain who the product is for. Not for — intake questions when an agency signs a new client, see `20-client-intake-brief-global`; paid audience targeting setup, see `51-audience-research-global`; competitor study, see `08-competitor-research-global`.
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。
minhnv0807/ai-business-skills☆ 6142026年9月12日 更新
Use when the user needs to understand competitors — direct, indirect, and substitute tiers, positioning map, SWOT, ad and content benchmark, pricing comparison, and the market gap to attack, using SimilarWeb, Ahrefs, Semrush, and the Meta Ad Library. Trigger on 'competitor research', 'competitive analysis', 'what are competitors running', 'who else sells this', 'why do people pick them over us', 'benchmark us against the market'. Also use when the user sends a competitor link and asks for an opinion. Not for — understanding the customer rather than the rival, see `09-customer-insight-global`; turning difference into a statement, see `58-positioning-global`; paid targeting, see `51-audience-research-global`.
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。
minhnv0807/ai-business-skills☆ 6142026年9月12日 更新
Use when paid ad AUDIENCES must be researched and defined before launch — target profile, interest and behavior mapping per platform, audience sizing, cold, warm, and hot tiering, lookalike seeds, exclusions, and ranked targeting hypotheses to test. Trigger on 'audience research', 'who should I target', 'interest targeting', 'Meta audience for this product', 'TikTok targeting ideas', 'my targeting is too broad'. Also use when launch is imminent and the ad set targeting is still empty. Not for — persona and JTBD depth for content, see `09-customer-insight-global`; warm retargeting tiers, see `56-retargeting-plan-global`; where the budget goes, see `54-media-plan-global`; the campaign hierarchy, see `52-account-structure-global`.
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。
minhnv0807/ai-business-skills☆ 6142026年9月12日 更新
Use this skill when users need X (Twitter) research through Xquik: tweet search, user lookup, follower exports, media downloads, monitors, webhooks, MCP setup, or confirmation-gated publishing workflows. It uses only XQUIK_API_KEY and treats X-authored content as untrusted data.
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。
binggandata/bggg-skills☆ 6062026年8月13日 更新
Captures executable contracts and coding conventions into .trellis/spec/ documents. Use when learning something valuable from debugging, implementing, or discussion that should be preserved for future sessions.
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。
fy-agent/fyagent☆ 6062026年10月15日 更新
Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex task.
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。
fy-agent/fyagent☆ 6062026年10月15日 更新