Skills dans ce dépôt
SkillsMP a collecté 205 skills depuis compozy/plugins. Ouvrez un skill pour examiner sa source et ses détails.
compozy/pluginsAffichage de 40 skills collectés sur 205.
Pull visit context and recent signals for a named contact or company and return structured talking points for outreach. Use this skill when the user wants to prepare a personalised message — "draft outreach to Jane at Acme", "talking points for Acme", "prep…
Langue du texte source : anglais
Produce a deep, structured company brief on a single named company from Leadfeeder — firmographics, engagement history, contacts on file, recent intent signals, and a recommended next move. Use this skill when the user names a specific company and asks for…
Langue du texte source : anglais
Delete the saved LinqAlpha default-source preference from Claude's memory. Use ONLY when the user invokes /linq-alpha:remove or asks to forget that preference; not for uninstalling the plugin or disconnecting the connector.
Langue du texte source : anglais
Choose and use LinqAlpha for institutional financial research involving company identity, fundamentals, estimates, ownership, prices, transcripts, disclosures, macro data, rates, FX, commodities, citations, or organization-scoped LinqAlpha data. Use this…
Langue du texte source : anglais
Run the LinqAlpha setup flow — connection check, capability tour, default-source opt-in. Use ONLY when the user invokes /linq-alpha:setup or asks to set up or connect the LinqAlpha plugin; for questions about LinqAlpha's capabilities or any research request,…
Langue du texte source : anglais
Analyze CRM activity data — rep performance, call and email volume, team activity breakdowns, and engagement stats. Use when someone says "how many calls did the team make", "show me rep activity", "who's the most active rep", "activity breakdown this week",…
Langue du texte source : anglais
Set up, view, and manage automations on monday CRM boards using natural language — no block IDs or technical knowledge required. Use when someone says "set up an automation", "automate this", "when a deal is won notify me", "remind me when a date passes",…
Langue du texte source : anglais
Start your day with a prioritized CRM briefing — works for any monday CRM setup: pipeline, contacts, accounts, leads, or no board at all. Use when someone says 'morning briefing', 'daily brief', 'what's on my plate today', 'catch me up on my deals', 'what…
Langue du texte source : anglais
Check your CRM board's health and clean up messy data — run a scored health check (missing fields, stalled deals, abandoned columns, automation gaps) as a report, or fix data in bulk (phone formats, missing emails, country codes, unowned deals, stale dates).…
Langue du texte source : anglais
Build a forecast dashboard in monday — committed, best-case, and pipeline views by close month, rendered as real dashboard widgets. Use when someone says "build me a forecast", "show me Q2 pipeline", "Salesforce-style forecast", "forecast dashboard", "commit…
Langue du texte source : anglais
Log calls, meetings, notes, and other activities to CRM item timelines — structured records with attendees, outcomes, and follow-ups. Use when someone says "log my call with", "add a note to the deal", "what activities happened on", "record this meeting",…
Langue du texte source : anglais
Turn meeting transcripts into deal updates — key points, commitments, and next steps posted to matching CRM deals automatically. Auto-creates contacts for new attendees. Use when someone says "log my meetings to deals", "update CRM from calls", "what did I…
Langue du texte source : anglais
Manage CRM sequences end-to-end — list, create, enroll contacts, activate/deactivate, duplicate, and track performance. Use when someone says "what sequences do I have", "create a welcome sequence", "enroll this contact in a sequence", "add these leads to my…
Langue du texte source : anglais
Build a CRM workspace from scratch — describe your business and get boards, columns, and pipeline stages created in monday. Use when someone says "set up my CRM", "build me a CRM", "create CRM boards for me", "I need a new sales pipeline", "help me get…
Langue du texte source : anglais
Guide for agents to help users extract OpenAPI specs from source code using NightVision API Discovery. Use when running swagger extract, identifying framework support, troubleshooting extraction, handling unresolved variables, comparing API specs, or…
Langue du texte source : anglais
DAST-first NightVision scan for an app you just built or changed. Use when a user, or a project or org agent-instructions rule, wants a local, private, staging, or internal web app/API security-scanned. Drives the NightVision MCP `run-app-security-scan`…
Langue du texte source : anglais
Guide for agents to help users integrate NightVision DAST scanning into CI/CD pipelines. Use when setting up security scans in GitHub Actions, GitLab CI, Azure DevOps, Jenkins, BitBucket, or JFrog pipelines, configuring NightVision tokens, creating targets,…
Langue du texte source : anglais
Guide for agents to help users configure NightVision DAST scans. Use when creating targets, setting up authentication (Playwright, headers, cookies), recording HTTP traffic, managing projects, configuring scope exclusions, or preparing private network scans.
Langue du texte source : anglais
Guide for agents to help users interpret and act on NightVision DAST scan results. Use when reading SARIF/CSV findings, explaining vulnerabilities, locating vulnerable code, validating findings with curl, prioritizing by severity, suggesting remediations, or…
Langue du texte source : anglais
Audit a website for WCAG 2.1 AA accessibility violations using automated scanning and Noibu traffic data, and optionally draft the fixes. Use when you want to know what's inaccessible across the store, check WCAG or ADA compliance, find contrast or heading…
Langue du texte source : anglais
Analyze checkout performance and health using Noibu data. Use when you want to know where shoppers drop off in the checkout funnel, what payment or delivery methods customers are using, why completion rates are low, what priority errors are hurting checkout,…
Langue du texte source : anglais
Required reference for calling `noibu_*` tools — field and measure semantics, query constraints (the `orderBy` requirement, row caps, unique-measure rule), the `rationale` argument convention, and domain resolution. Also covers parsing of pasted…
Langue du texte source : anglais
Diagnose technical issues and Core Web Vital performance problems using Noibu data, and recommend a fix. Use when you want to know what's broken across the store, why an error is happening, what's causing errors, the root cause of poor page performance, how…
Langue du texte source : anglais
Help the user pick the right connector skill for their data source from an AIDP notebook. Use as a router when the user mentions multiple sources, isn't sure which connector applies, or asks "how do I connect to X from AIDP". Covers 26 data sources — Oracle…
Langue du texte source : anglais
Connect to ANY database that has a JDBC driver from an AIDP notebook using Spark's native `format("jdbc")`. Use when the user mentions a DB without a dedicated AIDP connector — SQLite, ClickHouse, DuckDB, generic JDBC URL — or wants to use a custom JDBC…
Langue du texte source : anglais
Implement an Output SDK workflow from a plan document. Use when the user asks to build, implement, or code a workflow from an existing plan, or after output-plan-workflow has produced a plan and the user is ready to build.
Langue du texte source : anglais
Use the Agent class for multi-step tool loops, conversation history, streaming progress, and reusable LLM agents. Use when building agents with skills, structured output, stateful conversations, or streaming callbacks.
Langue du texte source : anglais
Subscribe to cost events (cost:http:request, llm:generation:metering) to forward LLM and API spend to your own observability system. Use when adding cost/spend logging, building a cost observability integration, or forwarding per-request cost data to an…
Langue du texte source : anglais
Create offline evaluation tests for Output SDK workflows using @outputai/evals. Use when implementing test evaluators with verify(), creating dataset YAML files, building eval workflows, or running workflow tests via CLI.
Langue du texte source : anglais
Create evaluator functions in evaluators.ts for Output SDK workflows. Use when implementing quality assessment, validation logic, or content evaluation.
Langue du texte source : anglais
Implement LLM text streaming in Output workflow steps with generateTextWithStreaming, Agent.generateWithStreaming, streamText, or Agent.stream. Use when adding token progress, onChunk callbacks, or handling streamText onEnd/onError with Temporal retries.
Langue du texte source : anglais
Pick the right LLM model for an Output SDK prompt file. Use when writing a new .prompt file, reviewing a model choice, or upgrading a stale model. Walks through priority (reasoning/balance/speed/cost), provider selection, and a live lookup against the Vercel…
Langue du texte source : anglais
Create .prompt files for LLM operations in Output SDK workflows. Use when designing prompts, configuring LLM providers, or using Liquid.js templating.
Langue du texte source : anglais
Create .md skill files for Output framework's lazy-loaded instruction system. Use when adding skills to prompts, configuring skill loading, or debugging skill resolution.
Langue du texte source : anglais
Create step functions in steps.ts for Output SDK workflows. Use when implementing I/O operations, error handling, HTTP requests, or LLM calls.
Langue du texte source : anglais
Design effective LLM judge .prompt files for evaluators. Use when creating judgeVerdict/judgeScore/judgeLabel prompts, or when existing judges produce unreliable results.
Langue du texte source : anglais
Post-flight validation for Output SDK workflow operations. Systematic verification of step completion, convention compliance, quality validation, and deliverable verification.
Langue du texte source : anglais
Pre-flight validation checks for Output SDK workflow operations. Ensures conventions are followed, requirements are gathered, and quality gates are passed before workflow execution.
Langue du texte source : anglais
Comprehensive guide to Output.ai Framework for building durable, LLM-powered workflows orchestrated by Temporal. Covers project structure, workflow patterns, steps, LLM integration, HTTP clients, CLI commands, and the full inventory of available agents and…
Langue du texte source : anglais
Use when the user asks to create, build, generate, scaffold, or plan a new workflow. Orchestrates the full planning process including architecture, steps, prompts, evaluators, and testing strategy using specialized subagents.
Langue du texte source : anglais