238건 · 관련도순
Research a named competitor using public websites, social posts, and press coverage. Track launches, pricing, and messaging changes, then summarize three to five notable developments with brief takeaways in a weekly digest for the team.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Read current headlines from designated news websites across seven categories, including politics, business, technology, and sports. The skill extracts dates and key points, then organizes a brief digest with sources and optional links.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Collect trending news, search rankings, gold prices, and exchange rates from over 70 platforms. Get a digest or headline list organized around selected topics and interests, with duplicate stories merged and sources and retrieval times included.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Check regulatory feeds for updates since the last review and filter them by relevance to your work. Receive a digest grouped by importance, with source labels, effective dates, and comment deadlines where applicable.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create a daily briefing combining changes in official Anthropic documentation with guide updates and CC CLI releases from the last 24 hours. Review added, removed, or modified sections alongside links to the original sources.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Find recent papers on a research topic from arXiv, bioRxiv, or both. Narrow candidates through scored shortlists, then produce structured Chinese and English summaries with paper metadata, limitations, and an explanation of the final selection.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Use this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without rewriting against doca-sha. Covers engine load mechanics (`openssl engine dynamic`, `set_pci_addr` ctrl, `-engine_impl`), the SHA-224 negative test that proves offload engaged, the message-size window where offload beats CPU SHA, and engine-vs-library selection. Trigger even when the user does not say "DOCA SHA Offload Engine" or "OpenSSL ENGINE" — typical implicit phrasings: "speed up openssl SHA on BlueField", "offload SHA without code changes", "is openssl using the accelerator or falling back to software", "prove DOCA SHA actually ran", "openssl dgst hashed but I'm not sure it was offloaded". Refuse and route elsewhere for new SHA pipelines (use doca-sha), MD5 / SHA-3 / SHA-224 / HMAC-SHA offload, incremental hashing via chained `EVP_DigestUpdate`, or OpenSSL PROVIDER authoring.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Pay-per-call access to the Hexanon family of eight x402 APIs for autonomous agents — no signup, no API keys, USDC on Base. Covers US/Canada vehicle & VIN intelligence (Vindex), e-commerce demand signals (Demandex), Polymarket whale intelligence (OrcaTrace), GitHub trending-repo digests (gitBeacon), narrative intelligence (Signalis), Moltbook community digests (Moltalyzer), x402 seller conformance scanning (x402lint), and Polymarket weather-market signals (Isocast).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Produce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki. Use for readable recent-learning summaries; wiki-status reports source and ingestion state instead.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reviews and improves another DeepCode skill's SKILL.md description field, and guides Agent Skill installation into user or project .agents/skills roots. Use when the user asks to digest a skill, install an Agent Skill, install a skill to user/project scope, or says "消化技能" or "安装 agent skill".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Scrape G2, Capterra, and Trustpilot reviews for your product and competitors, then extract recurring themes, objections, proof points, and exact customer language for use in messaging. Chains review-site-scraper with LLM analysis. Produces a weekly or monthly digest that feeds directly into copywriting, positioning, and sales enablement. Use when a marketing team needs to ground messaging in real customer language.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a consolidated digest from multiple information sources
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate and send a digest on a configurable topic, optionally pulling RSS/Atom feeds as an input source alongside web + X signal
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
A digest of a week or more of the user's own coding-agent sessions (default 7 days): sessions per day and project, most-edited files and the lessons Cognee learned, written up as shipped, decided and still open.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Returns the frozen gate constants — question, header, option labels and descriptions, digest field-list, and preview content — for every catalog gate. Invoked by the team lead fresh on arrival at each gate and on pulse re-emissions, in the same turn as the render. The transport contract, three renders, partition rule, and authoring rubric live in swarm:workflow-rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reads and analyzes academic papers (arXiv preprints, conference / journal PDFs, Zotero items) at three configurable depths: quick skim (2 min), standard read (10 min), or deep analysis (30 min). Produces structured digests covering problem, method, key innovation, results, limitations, reproducibility, hidden assumptions, and connections to the user's other work. Use when the user shares an arXiv link, PDF, or paper title and asks to read / summarize / digest / TL;DR / analyze / review / critique / explain / break down a paper, asks about a paper's contributions / methods / results / equations / figures, wants to compare two papers side by side, or needs a reading note for their records.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Personal research-paper radar. Fetches the latest papers and code repos for the user's keyword subscriptions across arXiv, Crossref (IEEE/ACM), Semantic Scholar, GitHub, HuggingFace, Papers with Code and RSS; deduplicates against history; then YOU (the assistant) expand the queries, filter for computer-science relevance, write Chinese summaries, detect hot sub-fields, and emit a Markdown + HTML digest (optionally emailed). Use when the user asks to "run my paper radar / 文献雷达", "check for new papers", "what's new in my topics", "今天有什么新论文 / 最新文献", "today's research digest", or to configure their keyword subscriptions / sources / schedule.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Manage an engagement buffer that ingests, prioritizes, rate-limits, deduplicates, and tracks state for incoming engagement items across platforms. Generates periodic digests and enforces cooldown periods. Composes with du-dum: du-dum sets the observation/action cadence, this skill manages the queue between beats.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Summarize any block of text using the `summarize` CLI (chained-in from steipete/summarize — npm package `@steipete/summarize`). Use whenever the user pastes a long piece of content and asks for a TL;DR, a summary, a digest, a gist, a condensed version, or key points — even if they don't explicitly say "use summarize". Also chains into `mktg-transcribe --summarize` for audio/video TL;DRs and source-digestion workflows to condense long articles. Requires the `summarize` CLI to be installed (`mktg doctor` will tell you if it's missing). Do NOT trigger for structured data (JSON/CSV/code), for text already shorter than ~500 words, or when the user wants the full content preserved.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create digest emails — curated summaries, personalization, frequency strategy, and engagement optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a weekly support digest and post it to [Slack](https://composio.dev/toolkits/slack)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run a GitHub issue digest for openai/codex by feature-area labels, all areas, and configurable time windows. Use when asked to summarize recent Codex bug reports or enhancement requests, especially for owner-specific labels such as tui, exec, app, or similar areas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
exact-13 staging planを独立評価したいとき、4条件とdigestに束縛したplan-findings.jsonを生成したいときに使う。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.