044-planning-jira
Use when you need the Jira CLI (`jira`) to verify installation, configure Jira Cloud access, list issues (all or by JQL) as markdown tables, and fetch issue descriptions and comments for analysis. Uses an interactive install gate - if `jira` is missing, ask whether to show installation guidance before any issue commands. This should trigger for requests such as jira issue list; List Jira issues; Jira JQL issue query; jira issue view comments; Jira CLI issue workflow. Part of cursor-rules-java project
What this skill does
# Jira CLI - issues, workflows, and discussion for analysis Use **`jira`** to work with Jira issues: **first** run an **interactive** check - if `jira` is not installed, **stop**, ask whether the user wants installation guidance, **wait** for an answer, then continue. When `jira` is available, validate configuration, list issues with optional JQL filters, render **markdown tables** from command output, and load **full issue descriptions and comment threads** for analysis. **What is covered in this Skill?** - **Interactive** install gate: ask before assuming `jira` is installed; offer installation guidance only when the user agrees - Install/config checks (`jira version`, `jira configure`) - Jira Cloud context (site URL, account email, API token handled by CLI prompts) - Issue lists: basic list and JQL-backed list queries - Deep reads: issue detail and comments for requirement analysis - Core actions: create, assign, transition, and add comments ## Constraints Do not fabricate issue data; use only `jira` output (or explicitly agreed Jira REST API responses). Never print API tokens or secrets. - **INTERACTIVE GATE**: If `jira` is missing, **stop**, ask whether the user wants installation guidance, **wait** - do not skip to issue listing - **FIRST** (after gate): Verify `jira` is available before issuing subcommands - **CONFIG**: Ensure Jira CLI is configured before private workspace operations - **TABLES**: Prefer markdown pipe tables for issue list summaries - **THREAD**: For analysis, include description and all comments (or explicitly summarize with omissions noted) ## When to use this skill - jira issue list - List Jira issues - Jira JQL issue query - jira issue view comments - Jira CLI issue workflow ## Workflow 1. **Run interactive install gate** Check `jira version`; if missing, stop and ask whether the user wants installation guidance before any issue operations. 2. **Verify Jira CLI configuration** Ensure Jira CLI is configured (site/account/token flow via CLI prompts) before running private workspace commands. 3. **List issues with optional JQL** Retrieve issues using basic listing or JQL filters and present summaries as markdown pipe tables. 4. **Load issue details and discussion** Read full issue descriptions and all comments for analysis, explicitly noting any omissions when summarizing. 5. **Execute core Jira actions when requested** Support create, assign, transition, and add-comment actions using CLI commands while avoiding secret exposure. ## Reference For detailed guidance, examples, and constraints, see [references/044-planning-jira.md](references/044-planning-jira.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.