113-java-maven-documentation
Use when you need to create a DEVELOPER.md file for a Maven project — combining a fixed base template with dynamic sections derived from the project pom.xml, including a Plugin Goals Reference, Maven Profiles table, and Submodules table for multi-module projects. This should trigger for requests such as Create DEVELOPER.md; Generate DEVELOPER.md; Maven project documentation; Add Maven documentation; Plugin goals reference. Part of cursor-rules-java project
What this skill does
# Create DEVELOPER.md for the Maven projects Generate a `DEVELOPER.md` file that combines a fixed base template with dynamic sections derived from analysing the project `pom.xml`. **What is covered in this Skill?** - Base template reproduction (verbatim) - Plugin goals reference: table of `./mvnw` goals per explicitly declared plugin, max 8 goals each - Maven Profiles table: profile ID, activation trigger, representative command, description - Submodules table (multi-module projects only) ## Constraints Before generating any content, read every pom.xml in the workspace. Only include plugins explicitly declared in the project POMs — never plugins inherited from parent POMs or the Maven super-POM unless redeclared. - **MANDATORY**: Read every `pom.xml` in the workspace (root and submodules) before generating any content - **PLUGIN SCOPE**: Only include plugins **explicitly declared** in `<build><plugins>` or `<build><pluginManagement><plugins>` — never plugins inherited from parent POMs or the Maven super-POM unless redeclared - **SCOPE**: Execute steps 1–5 in order. Omit Profiles section if no profiles; omit Submodules section if not multi-module - **BEFORE APPLYING**: Read the reference for the base template content, plugin catalog, and detailed constraints for each step ## When to use this skill - Create DEVELOPER.md - Generate DEVELOPER.md - Maven project documentation - Add Maven documentation - Plugin goals reference - Maven Profiles table - Submodules table ## Workflow 1. **Read all POM files in workspace** Read root and every submodule `pom.xml` before generating content. 2. **Read documentation reference assets** Read `references/113-java-maven-documentation.md` to use the base template and plugin catalog constraints exactly. 3. **Assemble DEVELOPER.md base and dynamic sections** Generate `DEVELOPER.md` with verbatim base template plus dynamic sections: plugin goals, profiles (if any), and submodules (if multi-module). 4. **Enforce plugin scope and section omission rules** Include only explicitly declared plugins and omit Profiles/Submodules sections when not applicable. ## Reference For detailed guidance, examples, and constraints, see [references/113-java-maven-documentation.md](references/113-java-maven-documentation.md).
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.