查詢中

搜尋技能

為您的 Agent 尋找最完美的能力。

結果數
53,183
符合搜尋條件的技能
當前頁
101
共 2660 頁
關鍵詞
ai
按名稱、標籤或描述搜尋
debugging
16.5K

regex-expert

Regular expression expert for crafting, debugging, and explaining patterns

RightNow-AI
RightNow-AI
tools
open
debugging
16.5K

searxng

Privacy-respecting metasearch specialist using SearXNG instances

RightNow-AI
RightNow-AI
tools
open
debugging
16.5K

sentry

Sentry error tracking and debugging specialist

RightNow-AI
RightNow-AI
tools
open
productivity-tools
16.5K

notion

Notion workspace management and content creation specialist

RightNow-AI
RightNow-AI
tools
open
productivity-tools
16.5K

slack-tools

Slack workspace management and automation specialist

RightNow-AI
RightNow-AI
tools
open
system-admin
16.5K

ansible

Ansible automation expert for playbooks, roles, inventories, and infrastructure management

RightNow-AI
RightNow-AI
tools
open
system-admin
16.5K

linux-networking

Linux networking expert for iptables, nftables, routing, DNS, and network troubleshooting

RightNow-AI
RightNow-AI
tools
open
system-admin
16.5K

nginx

Nginx configuration expert for reverse proxy, load balancing, TLS, and performance tuning

RightNow-AI
RightNow-AI
tools
open
system-admin
16.5K

sysadmin

System administration expert for Linux, macOS, Windows, services, and monitoring

RightNow-AI
RightNow-AI
tools
open
knowledge-base
16.3K

typo-checker

Run typos-cli on the codebase, review findings, fix real typos, and update _typos.toml config to suppress false positives. Use this skill for routine codebase typo maintenance. Invoke when doing periodic codebase hygiene, when the user mentions typos or spelling checks, or as a scheduled maintenance task.

vitest-dev
vitest-dev
documentation
open
machine-learning
16.3K

timesfm-forecasting

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.

google-research
google-research
data-ai
open
full-stack
16.3K

solve-rendercv-issue

Pick up a GitHub issue (or accept one), fully understand the RenderCV codebase, implement the fix/feature with tests, and open a PR to origin/main.

rendercv
rendercv
development
open
git-workflows
16.3K

review-rendercv-pr

Review a GitHub pull request against RenderCV's codebase standards, architecture, and test requirements, then post a detailed review.

rendercv
rendercv
devops
open
project-management
16.1K

ce-work

Execute work efficiently while maintaining quality and finishing features

udecode
udecode
business
open
real-estate-legal
16.1K

adversarial-document-reviewer

Conditional document-review persona, selected when the document has >5 requirements or implementation units, makes significant architectural decisions, covers high-stakes domains, or proposes new abstractions. Challenges premises, surfaces unstated assumptions, and stress-tests decisions rather than evaluating document quality.

udecode
udecode
business
open
sales-marketing
16.1K

ce-plan

Transform feature descriptions or requirements into structured implementation plans grounded in repo patterns and research. Also deepen existing plans with interactive review of sub-agent findings. Use for plan creation when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', or when a brainstorm/requirements document is ready for technical planning. Use for plan deepening when the user says 'deepen the plan', 'deepen my plan', 'deepening pass', or uses 'deepen' in reference to a plan. Best when requirements are at least roughly defined; for exploratory or ambiguous requests, prefer ce:brainstorm first.

udecode
udecode
business
open
sales-marketing
16.1K

ce-brainstorm

Explore requirements and approaches through collaborative dialogue before writing a right-sized requirements document and planning implementation. Use for feature ideas, problem framing, when the user says 'let's brainstorm', or when they want to think through options before deciding what to build. Also use when a user describes a vague or ambitious feature request, asks 'what should we build', 'help me think through X', presents a problem with multiple valid solutions, or seems unsure about scope or direction — even if they don't explicitly ask to brainstorm.

udecode
udecode
business
open
sales-marketing
16.1K

ce-plan

Transform feature descriptions or requirements into structured implementation plans grounded in repo patterns and research. Use when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', or when a brainstorm/requirements document is ready for technical planning. Best when requirements are at least roughly defined; for exploratory or ambiguous requests, prefer ce:brainstorm first.

udecode
udecode
business
open
sales-marketing
16.1K

ce-brainstorm

Explore requirements and approaches through collaborative dialogue before writing a right-sized requirements document and planning implementation. Use for feature ideas, problem framing, when the user says 'let's brainstorm', or when they want to think through options before deciding what to build. Also use when a user describes a vague or ambitious feature request, asks 'what should we build', 'help me think through X', presents a problem with multiple valid solutions, or seems unsure about scope or direction — even if they don't explicitly ask to brainstorm.

udecode
udecode
business
open
llm-ai
16.1K

ce-ideate

Generate and critically evaluate grounded improvement ideas for the current project. Use when asking what to improve, requesting idea generation, exploring surprising improvements, or wanting the AI to proactively suggest strong project directions before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on this project', 'surprise me with improvements', 'what would you change', or any request for AI-generated project improvement suggestions rather than refining the user's own idea.

udecode
udecode
data-ai
open
上一頁
第 101 頁 / 共 2660 頁
下一頁