一键导入
agentic-build-templates
agentic-build-templates 收录了来自 heldernoid 的 144 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。
这个仓库中的 skills
Edit the visual grid layout of a garden bed, assigning crops to cells on a canvas editor. Use when asked to arrange crops in a bed, draw a planting layout, move crops around, visualize companion planting placement, or check for enemy crop adjacency in a specific bed. Triggers include "layout editor", "bed grid", "draw the bed", "assign crops to cells", "companion warning in layout", or similar visual planning tasks.
Plan crop rotations, planting schedules, and companion planting for garden beds and fields. Use when asked to manage a farm, garden, or plot layout; schedule what to plant and when; check companion planting relationships; track rotation history; or generate a printable planting schedule. Triggers include "crop rotation", "planting schedule", "companion planting", "garden bed", "what to plant", "frost dates", or any task involving seasonal crop planning.
Log crop harvests with yield quantity, quality grade, field, and storage destination. Use when asked to record a harvest, check total yield for a crop or field, filter harvest history by date or grade, view analytics charts, or export harvest data. Triggers include "log harvest", "record yield", "harvest entry", "crop yield", "grade breakdown", "field yield", "harvest history", or any task involving tracking what was picked and where it went.
Query and interpret yield analytics data from harvest-logger. Use when asked about yield trends over time, comparing crop performance, finding the best-performing field, analyzing grade quality rates, running season comparisons, or generating data for external reports. Triggers include "yield trend", "top crops", "grade analysis", "field performance", "season comparison", "best yield", "harvest analytics", or any task requiring aggregated harvest data rather than individual entries.
Schedule and monitor irrigation zones with weather-aware skip rules and water usage tracking. Use when asked to manage irrigation timing, set up zone schedules, configure rain-based skip rules, check water usage, trigger manual watering, or apply seasonal duration presets. Triggers include "irrigation", "sprinkler schedule", "watering zones", "skip when raining", "water usage tracking", "manual run irrigation", or any task involving automated watering management.
Configure and troubleshoot weather-based irrigation skip rules using the Open-Meteo API. Use when asked to set up rain forecast skips, configure rain threshold values, debug why zones are or are not being skipped, check weather cache status, understand skip preview results, or tune skip rule sensitivity for your local climate. Triggers include "skip when rain", "weather threshold", "Open-Meteo", "skip preview", "rain forecast rule", "freeze protection", or any task involving weather-driven irrigation decisions.
Manage per-animal health event records, follow-up scheduling, and treatment cost tracking. Use when asked to add a vet visit note, record a treatment with cost, set a follow-up date, view all events for one animal, filter events by type across the herd, or export health history to CSV. Triggers include "vet visit", "treatment record", "follow-up date", "health event log", "export health history", "cost tracking", or any task focused on individual health event documentation rather than vaccination scheduling.
Track individual animals, record health events, vaccinations, weights, and breeding events. Use when asked to add an animal to the herd, log a vaccination, record body weight, track a treatment, set up a breeding event, check overdue vaccinations, or view the animal timeline. Triggers include "add animal", "record vaccination", "log weight", "track treatment", "breeding event", "overdue vaccines", "animal health history", "herd overview", or any task involving individual animal management.
Analyze pest pressure trends, identify fields needing intervention, evaluate spray effectiveness, and provide IPM recommendations. Use when asked which fields need spraying, whether a spray worked for a specific pest, how pressure has changed over time, which pest is worst this season, the cost-effectiveness of spray programs, or any analytical question about integrated pest management strategy. Triggers include "IPM summary", "spray effectiveness", "pressure trend", "which fields to spray", "worst pest", "season analysis", "spray program", "intervention needed", or any strategic pest management question.
Record field scouting observations, track pest and disease pressure, and manage spray application records. Use when asked to log a new pest sighting, check which fields have high pressure, find all codling moth observations, view spray history for a field, or check if a pre-harvest interval has cleared. Triggers include "log observation", "scouting report", "pest pressure", "disease found", "field scouting", "spray record", "PHI", "pre-harvest interval", "observation history", "high pressure fields", or any task involving pest or disease tracking.
Interpret soil test nutrient data, identify deficiencies, query trends, and generate comparison reports. Use when asked to identify which fields need lime, find all phosphorus-deficient fields, compare nutrient values between tests, generate a before/after amendment report, or explain what a nutrient status means for crop production. Triggers include "which fields are deficient", "nutrient trend", "before after comparison", "lime recommendation", "N P K status", "improvement report", or any analytical question about soil chemistry data.
Record soil test results, track nutrient levels over time, and log soil amendments. Use when asked to add a soil test, check which nutrients are deficient, view field nutrient history, record a lime or fertilizer application, or compare field health across tests. Triggers include "soil test", "soil pH", "nutrient deficiency", "add lime", "compost application", "phosphorus low", "organic matter", "amendment record", or any task involving soil chemistry tracking.
Configure and troubleshoot sensor data ingest into weather-station-dashboard via MQTT or HTTP POST. Use when asked to set up MQTT broker connection, debug why readings are not appearing, configure a new sensor sending data over HTTP, check MQTT topic configuration, test sensor connectivity, or understand the ingest pipeline. Triggers include "MQTT not receiving", "sensor not sending", "configure MQTT", "HTTP POST reading", "ingest setup", "topic configuration", "reading not showing up", or any task involving getting sensor data into the system.
Query live and historical weather sensor data, manage stations and alert thresholds, and retrieve daily summaries. Use when asked to check current temperature, view recent readings for a station, find the highest temperature recorded this week, dismiss an active alert, list which stations are online, or retrieve today's daily summary. Triggers include "current temperature", "sensor readings", "station status", "alert history", "daily summary", "wind speed", "humidity", "rainfall total", or any query about live or historical weather data.
Record, replay, and debug LLM agent runs. Use when you need to: capture agent step sequences (tool calls, LLM calls, events), replay a run step-by-step, diff two runs to find what changed between a passing and failing run, search across all recorded runs, or inspect full context windows. Triggers include "debug agent run", "record agent steps", "replay agent", "why did my agent fail", "compare agent runs", "inspect context window", or any task requiring visibility into LLM agent execution.
Submit agent run data to agent-debugger via the ingestion API. Use when you need to understand the ingestion wire format, troubleshoot ingest errors, batch-submit steps, or integrate agent-debugger into a new language or framework. Triggers include "ingest API", "submit run data", "record steps", "POST ingest", "agent-debugger integration", or building an instrumentation library.
Route LLM API requests through a unified proxy with rate limiting, caching, and fallback. Use when you need to: call multiple LLM providers from one endpoint, add caching to reduce API costs, implement fallback between providers, enforce rate limits per team or application, or log all LLM usage centrally. Triggers include "LLM proxy", "unified API", "provider fallback", "LLM rate limiting", "AI gateway", "route to OpenAI", "cache LLM responses", or any task calling multiple LLM providers.
Configure and manage LLM request routing rules in ai-gateway. Use when you need to: direct specific models to specific providers, set up fallback chains, create routing rules by model pattern, or change provider priority. Triggers include "route gpt-4 to OpenAI", "set fallback provider", "routing rule", "model-to-provider mapping", or any configuration of which provider handles which model.
Explore high-dimensional text embeddings visually. Use when you need to: upload texts and compute embeddings, reduce dimensions with UMAP or t-SNE, explore semantic clusters in 2D or 3D scatter plots, find nearest neighbors by text query, label clusters, or compare two datasets side-by-side. Triggers include "visualize embeddings", "explore semantic clusters", "find similar texts", "embedding visualization", "UMAP plot", or any task requiring interactive exploration of text embedding spaces.
Run UMAP or t-SNE dimensionality reduction on embedding datasets. Use when you need to project high-dimensional vectors to 2D or 3D, tune projection parameters, compare UMAP vs t-SNE results, or poll projection status. Triggers include "project embeddings", "run UMAP", "t-SNE projection", "reduce dimensions", "projection parameters", or any need to configure or trigger dimensionality reduction in embedding-visualizer.
Run LLM evaluation test suites and detect regressions. Use when you need to: test LLM responses against expected outputs, score responses with exact match, regex, or AI judge, compare model performance across runs, detect quality regressions in CI, or benchmark multiple models. Triggers include "LLM eval", "test my prompts", "evaluate model", "run evals", "regression test LLM", "score responses", "compare models", or any task requiring systematic LLM quality measurement.
Use an LLM as an automated judge to score responses against a rubric. Use when you need nuanced quality evaluation that can't be done with exact match or regex. Triggers include "score with AI", "llm-judge", "rubric-based scoring", "quality evaluation", or any need to rate free-form responses.
Web app for creating, editing, and validating JSONL fine-tuning datasets. Checks format compliance for OpenAI, Anthropic, and Llama formats, detects duplicates, scores quality, and exports clean datasets.
JSONL format guide for LLM fine-tuning. Covers OpenAI, Anthropic, and Llama formats, format validation rules, conversion between formats, and quality checklist.
In-browser token counter for GPT and other LLM models using tiktoken WASM. Use when you need to count tokens in a text, visualize how text is tokenized, compare token counts of two texts, estimate API costs, or save text snippets for later reference. Triggers include "count tokens", "how many tokens", "token visualization", "API cost estimate", "tiktoken", "compare prompts", "snippet", or any task involving measuring text length for an LLM.
Reference guide for cl100k_base tokenization and LLM cost optimization. Use when you need to understand how the GPT tokenizer works, why text splits the way it does, estimate token counts for common content types, understand context window limits, or find strategies for reducing token usage and API costs. Triggers include "how does tokenization work", "why is my token count high", "BPE", "byte-pair encoding", "context window", "reduce tokens", "prompt optimization", "cost optimization", or any question about how LLMs count text.
Plan, schedule, and publish social media posts across Twitter/X, LinkedIn, and Instagram from a single self-hosted calendar interface. Use when asked to schedule social posts, manage a content pipeline, preview platform-specific formatting, or bulk-import a posting schedule from CSV. Triggers include "schedule post", "social media calendar", "publish to Twitter", "content pipeline", "bulk schedule", or "content calendar".
Publish content to Twitter/X, LinkedIn, and Instagram via the content-calendar API. Use when asked to post to social media, schedule a tweet, publish a LinkedIn update, or post to Instagram through the content-calendar system. Triggers include "post to Twitter", "publish on LinkedIn", "Instagram post", "social media post", or any request to push content to a social platform.
Operate the notification-hub API and web interface to manage notifications from GitHub, Slack, and Email sources.
Set up and maintain GitHub OAuth2 and Slack Bot Token integrations for notification-hub.
Handle file upload, validation, processing pipelines, and temporary file management in Node.js servers. Use when building file processing APIs with Express and multer, managing temporary files with cleanup, or implementing secure file handling patterns. Triggers include "file upload", "multipart form", "temp file cleanup", "multer config", or any server-side file handling task.
Process PDF files with merge, split, rotate, compress, watermark, and password operations via a self-hosted web UI and API. Use when asked to combine PDFs, extract pages, reduce file size, add watermarks, or protect documents with passwords. Triggers include "merge PDF", "split PDF", "compress PDF", "rotate pages", "watermark PDF", "PDF password", or any PDF manipulation task.
Implementation patterns for the pomodoro-dashboard timer engine, stats aggregation, and localStorage persistence layer. Use when building or modifying the core tracking logic.
Browser-only Pomodoro timer SPA with task tracking, focus stats, and a 12-week activity heatmap. All data stored in localStorage. No backend required.
REST API integration for qr-code-generator. TypeScript request helpers, batch pipeline patterns, and server-side code examples for embedding QR generation into other applications.
Generate QR codes via the web UI or REST API. Supports URL, WiFi, vCard, and plain text. Outputs SVG and PNG. Includes logo embedding and bulk CSV generation.
Rename files in bulk using pattern-based rules, regex capture groups, numbering sequences, case conversions, and date-based renaming. Use when renaming multiple files at once, adding prefixes/suffixes, numbering files, or organizing files by date. Triggers include "rename files", "bulk rename", "add prefix to files", "number files", "rename with pattern", "ren command".
Build rename patterns using batch-renamer's pattern variable syntax for bulk file renaming. Use when constructing or understanding rename pattern strings, combining variables like {name}, {ext}, {index:N}, {date}. Triggers include "rename pattern", "pattern variables", "{name} {ext}", "rename syntax", "file naming pattern".
Set up and manage the clipboard-history background daemon. Use when configuring automatic clipboard capture, troubleshooting the daemon, or setting up auto-start on login. Triggers include "clipboard daemon", "auto-capture clipboard", "clp daemon", "start clipboard watcher", "daemon not running".
Access persistent clipboard history from the terminal. Use when retrieving previously copied text, searching clipboard history, or restoring old clipboard content. Triggers include "clipboard history", "what did I copy", "clp", "paste old content", "clipboard search", "recover copied text".