# Send Economic Calendar Fetcher to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "economic-calendar-fetcher", "name": "Economic Calendar Fetcher", "source": "tencent", "type": "skill", "category": "效率提升", "sourceUrl": "https://clawhub.ai/Veeramanikandanr48/economic-calendar-fetcher", "canonicalUrl": "https://clawhub.ai/Veeramanikandanr48/economic-calendar-fetcher", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/economic-calendar-fetcher", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=economic-calendar-fetcher", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "references/fmp_api_documentation.md", "scripts/get_economic_calendar.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/economic-calendar-fetcher" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/economic-calendar-fetcher", "downloadUrl": "https://openagent3.xyz/downloads/economic-calendar-fetcher", "agentUrl": "https://openagent3.xyz/skills/economic-calendar-fetcher/agent", "manifestUrl": "https://openagent3.xyz/skills/economic-calendar-fetcher/agent.json", "briefUrl": "https://openagent3.xyz/skills/economic-calendar-fetcher/agent.md" } } ``` ## Documentation ### Overview Retrieve upcoming economic events and data releases from the Financial Modeling Prep (FMP) Economic Calendar API. This skill fetches scheduled economic indicators including central bank monetary policy decisions, employment reports, inflation data (CPI/PPI), GDP releases, retail sales, manufacturing data, and other market-moving events that impact financial markets. The skill uses a Python script to query the FMP API and generates chronological markdown reports with impact assessment for each scheduled event. Key Capabilities: Fetch economic events for specified date ranges (max 90 days) Support flexible API key provision (environment variable or user input) Filter by impact level, country, or event type Generate structured markdown reports with impact analysis Default to next 7 days for quick market outlook Data Source: FMP Economic Calendar API: https://financialmodelingprep.com/api/v3/economic_calendar Covers major economies: US, EU, UK, Japan, China, Canada, Australia Event types: Central bank decisions, employment, inflation, GDP, trade, housing, surveys ### When to Use This Skill Use this skill when the user requests: Economic Calendar Queries: "What economic events are coming up this week?" "Show me the economic calendar for the next two weeks" "When is the next FOMC meeting?" "What major economic data is being released next month?" Market Event Planning: "What should I watch for in the markets this week?" "Are there any high-impact economic releases coming?" "When is the next jobs report / CPI release / GDP report?" Specific Date Range Requests: "Get economic events from January 1 to January 31" "What's on the economic calendar for Q1 2025?" Country-Specific Queries: "Show me US economic data releases next week" "What ECB events are scheduled?" "When is Japan releasing their inflation data?" DO NOT use this skill for: Past economic events (use market-news-analyst for historical analysis) Corporate earnings calendars (this skill excludes earnings) Real-time market data or live quotes Technical analysis or chart interpretation ### Workflow Follow these steps to fetch and analyze the economic calendar: ### Step 1: Obtain FMP API Key Check for API key availability: First check if FMP_API_KEY environment variable is set If not available, ask user to provide API key via chat If user doesn't have API key, provide instructions: Visit https://financialmodelingprep.com Sign up for free account (250 requests/day limit) Navigate to API dashboard to obtain key Example user interaction: User: "Show me economic events for next week" Assistant: "I'll fetch the economic calendar. Do you have an FMP API key? I can use the FMP_API_KEY environment variable, or you can provide your API key now." ### Step 2: Determine Date Range Set appropriate date range based on user request: Default (no specific dates): Today + 7 days User specifies period: Use exact dates (validate format: YYYY-MM-DD) Maximum range: 90 days (FMP API limitation) Examples: "Next week" → Today to +7 days "Next two weeks" → Today to +14 days "January 2025" → 2025-01-01 to 2025-01-31 "Q1 2025" → 2025-01-01 to 2025-03-31 Validate date range: Ensure start date ≤ end date Ensure range ≤ 90 days Warn if querying past dates ### Step 3: Execute API Fetch Script Run the get_economic_calendar.py script with appropriate parameters: Basic usage (default 7 days): python3 /path/to/economic-calendar-fetcher/scripts/get_economic_calendar.py --api-key YOUR_KEY With specific date range: python3 /path/to/economic-calendar-fetcher/scripts/get_economic_calendar.py \\ --from 2025-01-01 \\ --to 2025-01-31 \\ --api-key YOUR_KEY \\ --format json Using environment variable (no --api-key needed): export FMP_API_KEY=your_key_here python3 /path/to/economic-calendar-fetcher/scripts/get_economic_calendar.py \\ --from 2025-01-01 \\ --to 2025-01-07 Script parameters: --from: Start date (YYYY-MM-DD) - default: today --to: End date (YYYY-MM-DD) - default: today + 7 days --api-key: FMP API key (optional if FMP_API_KEY env var set) --format: Output format (json or text) - default: json --output: Output file path (optional, default: stdout) Handle errors: Invalid API key → Ask user to verify key Rate limit exceeded (429) → Suggest waiting or upgrading FMP tier Network errors → Retry with exponential backoff Invalid date format → Provide correct format example ### Step 4: Parse and Filter Events Process the JSON response from the script: Parse event data: Extract all events from API response Apply user filters if specified: Impact level: "High", "Medium", "Low" Country: "US", "EU", "JP", "CN", etc. Event type: FOMC, CPI, Employment, GDP, etc. Currency: USD, EUR, JPY, etc. Filter examples: "Show only high-impact events" → Filter impact == "High" "US events only" → Filter country == "US" "Central bank decisions" → Search event name for "Rate", "Policy", "FOMC", "ECB", "BOJ" Event data structure: { "date": "2025-01-15 14:30:00", "country": "US", "event": "Consumer Price Index (CPI) YoY", "currency": "USD", "previous": 2.6, "estimate": 2.7, "actual": null, "change": null, "impact": "High", "changePercentage": null } ### Step 5: Assess Market Impact Evaluate the market significance of each event: Impact Level Classification (from FMP): High Impact: Major market-moving events FOMC rate decisions, ECB/BOJ policy meetings Non-Farm Payrolls (NFP), CPI, GDP Market typically shows 0.5-2%+ intraday volatility Medium Impact: Significant but less volatile Retail Sales, Industrial Production PMI surveys, Consumer Confidence Housing data, Durable Goods Orders Low Impact: Minor indicators Weekly jobless claims (unless extreme) Regional manufacturing surveys Minor auction results Additional Context Factors: Current Market Sensitivity: High inflation environment → CPI/PPI elevated importance Recession fears → Employment data more critical Rate cut speculation → Central bank meetings crucial Surprise Potential: Compare estimate vs. previous reading Large expected changes = higher attention Consensus uncertainty = higher impact potential Event Clustering: Multiple related events same day = amplified impact Example: CPI + Retail Sales + Fed speech = Very High impact day Forward Significance: Does this event influence upcoming central bank decisions? Is this a preliminary or final reading? Will this data be revised? ### Step 6: Generate Output Report Create structured markdown report with the following sections: Report Header: # Economic Calendar **Period:** [Start Date] to [End Date] **Report Generated:** [Timestamp] **Total Events:** [Count] **High Impact Events:** [Count] Event Listing (Chronological): For each event, provide: ## [Date] - [Day of Week] ### [Event Name] ([Impact Level]) - **Country:** [Country Code] ([Currency]) - **Time:** [HH:MM UTC] - **Previous:** [Value] - **Estimate:** [Consensus Forecast] - **Impact Assessment:** [Your analysis] **Market Implications:** [2-3 sentences on why this matters, what markets watch for, typical reaction patterns] --- Example Event Entry: ## 2025-01-15 - Wednesday ### Consumer Price Index (CPI) YoY (High Impact) - **Country:** US (USD) - **Time:** 14:30 UTC (8:30 AM ET) - **Previous:** 2.6% - **Estimate:** 2.7% - **Impact Assessment:** Very High - Core inflation metric for Fed policy decisions **Market Implications:** CPI reading above estimate (>2.7%) likely strengthens hawkish Fed expectations, potentially pressuring equities and supporting USD. Reading at or below 2.7% could reinforce disinflation narrative and support risk assets. Options market pricing 1.2% S&P 500 move on release day. --- Summary Section: Add analytical summary at the end: ## Key Takeaways **Highest Impact Days:** - [Date]: [Events] - [Combined impact rationale] - [Date]: [Events] - [Combined impact rationale] **Central Bank Activity:** - [Summary of any scheduled Fed/ECB/BOJ meetings or speeches] **Major Data Releases:** - Employment: [NFP, Unemployment Rate dates] - Inflation: [CPI, PPI dates] - Growth: [GDP, Retail Sales dates] **Market Positioning Considerations:** [2-3 bullets on how traders might position around these events] **Risk Events:** [Highlight any particularly high-uncertainty or surprise-potential events] Filtering Notes: If user requested specific filters, note at top: **Filters Applied:** - Impact Level: High only - Country: US - Events shown: [X] of [Y] total events in date range Output Format: Primary: Markdown file saved to disk Filename format: economic_calendar_[START]_to_[END].md Also display summary to user in chat ### Output Format Specifications File naming convention: economic_calendar_2025-01-01_to_2025-01-31.md economic_calendar_2025-01-15_to_2025-01-21.md (weekly) economic_calendar_high_impact_2025-01.md (with filters) Markdown structure requirements: Chronological ordering: Events sorted by date and time (earliest first) Impact level indicators: Use (High Impact), (Medium Impact), (Low Impact) labels Time zone clarity: Always specify UTC and provide ET/PT conversions for US events Data completeness: Include all available fields (previous, estimate, actual if past) Null handling: Display "N/A" or "No estimate" for null values Impact assessment: Every high/medium impact event must have market implications analysis Table format option (for dense listings): | Date/Time (UTC) | Event | Country | Impact | Previous | Estimate | Assessment | |-----------------|-------|---------|--------|----------|----------|------------| | 01-15 14:30 | CPI YoY | US | High | 2.6% | 2.7% | Core inflation metric | Language: All reports in English ### Resources Python Script: scripts/get_economic_calendar.py: Main API fetch script with CLI interface Reference Documentation: references/fmp_api_documentation.md: Complete FMP Economic Calendar API reference Authentication and API key management Request parameters and date formats Response field definitions Rate limits and error handling Best practices for caching and efficiency API Details: Endpoint: https://financialmodelingprep.com/api/v3/economic_calendar Authentication: API key required (free tier: 250 requests/day) Max date range: 90 days per request Response format: JSON array of event objects Rate limits: 5 requests/second (free tier) Event Coverage: Major economies: US, EU, UK, Japan, China, Canada, Australia, Switzerland Event categories: Monetary policy, Employment, Inflation, GDP, Trade, Housing, Surveys Update frequency: Real-time (events added/updated as scheduled) Historical data: Available for past events with actual values Usage Tips: Cache results to minimize API calls (events rarely change once scheduled) Query 7-30 day ranges for optimal request efficiency Don't query >6 months in future (sparse data, speculative dates) Refresh cache daily for upcoming week to catch time changes Use smaller ranges (1-7 days) for real-time event monitoring Error Handling: API key errors: Clear user guidance for obtaining free key Rate limits: Exponential backoff retry logic Network failures: Graceful degradation with cached data if available Invalid dates: Validation with helpful error messages ## Trust - Source: tencent - Verification: Indexed source record - Publisher: Veeramanikandanr48 - Version: 0.1.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/economic-calendar-fetcher) - [Send to Agent page](https://openagent3.xyz/skills/economic-calendar-fetcher/agent) - [JSON manifest](https://openagent3.xyz/skills/economic-calendar-fetcher/agent.json) - [Markdown brief](https://openagent3.xyz/skills/economic-calendar-fetcher/agent.md) - [Download page](https://openagent3.xyz/downloads/economic-calendar-fetcher)