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cccskills

「filter」の検索結果

1,380 件 ・ 関連度順

概要と使いどころ

This skill should be used when searching for people/leads using the Prospeo Search Person API. It provides the correct API format, filter types, rate limiting patterns, and state-by-state crawling techniques to overcome the 25K result limit. Use when building lead lists, searching by job title/industry/location, or integrating with Prospeo.

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Decides whether a company publishes public self-serve pricing and extracts its plan tiers, price points and feature axis. Triggers on "do they have a pricing page", "is their pricing public", "filter out enterprise quote-only companies", "what do they charge", "find their plans", "self-serve vs sales-led". Outputs a structured pricing record per domain. The copy-ready pricing clause is OFF by default and runs only when a campaign brief asks for 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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Turn the people who like and comment on a source account's LinkedIn posts (a competitor, or one of the client's own customers) into ICP-filtered prospect rows, with an optional copy-ready personalization line when the campaign asks for one. Triggers on "who engages with our competitors", "likers and commenters", "LinkedIn engagement list", "people commenting on competitor posts", "who engages with our customers' posts", "warm LinkedIn audience", "competitor engagers". Outputs one clean prospect row per engager; engagement_line only on request.

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Produces a copy-ready clause about a role a company is currently hiring for, filtered by language the client cares about (for example "cold call", "outbound prospecting", "Salesforce"). Triggers on "they're hiring", "job posting language", "who is hiring SDRs", "companies hiring for X", "find the hiring signal", "what roles are they hiring for", "job description mentions". Outputs job_posting_line_safe, one lowercase clause that slots into "Saw {{job_posting_line_safe}}."

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Checks whether a company's own website mentions a specific keyword, using one simple Google site: query per keyword through a SERP API, and turns the hit into a copy-ready line. Triggers on "does their site mention X", "site: search", "find companies whose website says X", "filter this list by a keyword on their site", "check if they talk about X", "google search enrichment". Outputs site_keyword_hit plus a one-clause personalization line with an evidence URL.

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Produces a copy-ready sentence about a company's funding round, and the list-building filters that select companies which have ever raised or raised recently. Triggers on "raised a round", "recently funded", "companies that raised", "Series A list", "VC backed", "post funding outreach", "who just raised". Outputs funding_line, a COMPLETE sentence including the leading "Saw" and the trailing period, so an empty value renders as nothing at all.

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Find lookalike companies via DiscoLike's 65M+ business domain database. Search by seed domains ("find companies like clay.com and apollo.io") or natural-language ICP text ("B2B cold email outreach"). Supports negation domains (exclude competitors/existing customers) and country filtering. Use when you already know 3-10 reference companies and want hundreds more that look like them. Outputs CSV ready for /blitz-list-builder or the email waterfall.

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Conversational intake for cold email campaigns. Interviews the user about their business, ICP (Ideal Customer Profile), offer, lead magnets, and hard vs soft filters. Outputs a structured `client-profile.yaml` that every other skill in the repo reads from. Use at the very start of a new campaign or when onboarding a new business. Triggers on "onboard me", "set up my ICP", "new client", "new business intake", "help me define my ICP".

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Build a near-complete company list for any ICP by learning how your real customers label themselves, pulling every industry and keyword they use, judging every single row with a cheap AI model (Jev or gpt-5-nano), and running a Claygent lookalike loop until it runs dry. The method from the SCULPT 2026 talk "Build the perfect company list". Use when a database filter feels too narrow or too noisy, when someone says "find every company like our customers", "our TAM looks too small", or "why is this list full of junk".

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Export your entire Prospeo people search to CSV. Build filters in Prospeo's UI, then use this skill to extract every result via the API — even searches over 25K. Handles pagination, rate limiting, deduplication, and state-by-state splitting automatically. Pair with /icp-prompt-builder on a 50-person sample to tune a qualification prompt BEFORE exporting 25K.

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。

growthenginenowoslawski/coldoutboundskills7652026年10月6日 更新

Use this skill AUTOMATICALLY before writing any Higgsfield prompt. Query the memory databases for relevant past failures and pre-apply known fixes before the user even hits generate. Triggers include: any request to write a Higgsfield prompt, any use of the higgsfield-prompt skill, any mention of generating a video or image on Higgsfield, any MCSLA prompt construction. This skill should run SILENTLY in the background — don't announce it, just apply what's known. If the databases are empty, skip silently and proceed with normal prompt generation.

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。

OSideMedia/higgsfield-ai-prompt-skill7422026年9月27日 更新

Find WeChat public-account articles that break out above the account's average reads for account-growth topic selection. Use when the user asks to discover 公众号爆款, 微信低粉爆款, 平均阅读爆款, 起号选题, category-based WeChat hot articles, or article references filtered by month_read_avg rather than unstable follower_count.

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。

kangarooking/kangarooking-skills6702026年9月7日 更新

Find recent viral YouTube videos for account-growth topic selection. Use when the user asks for YouTube 爆款, YouTube hot videos, 起号选题 from YouTube, niche video references, recent high-view videos, or videos ranked by views, likes, comments, freshness, and topic relevance without low-follower filtering.

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。

kangarooking/kangarooking-skills6702026年9月7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/cli6512026年10月14日 更新

Discover and list a site's URLs, with search filtering. Use for "map the site" or "find the URL for" requests — when the user knows the site but not the exact page, or wants site structure.

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/cli6512026年10月14日 更新

Best practices for polars data processing with dataframely. Covers definitions of Schema and Collection, usage of .validate() and .filter(), type hints, and testing. Use when writing or modifying code involving dataframely or polars data frames.

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。

Quantco/dataframely6182026年10月10日 更新

Design taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave

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/nWave6182026年9月16日 更新

Core distributed systems patterns - load balancing, caching, sharding, consistent hashing, message queues, rate limiting, CDN, Bloom filters, ID generation, replication, conflict resolution, CAP theorem

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/nWave6182026年9月16日 更新

Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy

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/nWave6182026年9月16日 更新

Use when the user asks what is pending, what to do next, or to list todos (optionally filtered by area). Lists pending todos, loads full context for the selected one, and routes to work now, add to a phase, brainstorm, or create a phase.

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/coco6122026年10月14日 更新

Use when opening a pull request and the diff is cluttered with .planning/ commits. Creates a clean branch filtered of GSD planning artifacts so reviewers see only code changes.

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/coco6122026年10月14日 更新

Turn ordinary photos or everyday snapshots into poetic hand-drawn illustrations with large white-paper negative space, vivid localized color, subtle collage accents, and tiny handwritten captions. Use when a user wants a real photo reimagined as an illustration rather than filtered, beautified, or photorealistically edited.

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。

dacnay816y62-hub/photo-revival5922026年9月6日 更新

Triage review findings interactively — approve, skip, or prioritize each issue. Use after /phx-review to filter findings before fixing.

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。

oliver-kriska/claude-elixir-phoenix5662026年10月14日 更新

Triage review findings interactively — approve, skip, or prioritize each issue. Use after phx-review to filter findings before fixing.

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。

oliver-kriska/claude-elixir-phoenix5662026年10月14日 更新