atlassian
Manage Jira issues and Confluence wiki pages in Atlassian Cloud. Use when: (1) searching/creating/updating Jira issues with JQL, (2) searching/reading/creating Confluence pages with CQL, (3) managing Jira workflows, transitions, and comments, (4) browsing Confluence spaces and page hierarchies. Supports OAuth 2.1 via MCP server (recommended) or API token authentication (fallback).
What this skill does
# Atlassian (Jira + Confluence) Full Jira and Confluence integration with two authentication methods: - **OAuth 2.1** via Atlassian MCP server — browser-based consent, auto-refresh tokens, calls MCP tools - **API token** — email + token stored in keyring, calls REST API directly ## First-Time Setup ### Option 1: OAuth 2.1 via MCP Server (Recommended) No API tokens or instance URLs needed. Uses dynamic client registration and PKCE. ```bash pip install -r requirements.txt python scripts/auth.py login --oauth ``` A browser opens for Atlassian authorization. Select which products (Jira, Confluence, Compass) to grant access. Tokens are stored in the system keyring and auto-refresh when expired. Check status: ```bash python scripts/auth.py status ``` ### Option 2: API Token (Fallback) For environments where browser-based OAuth isn't available. ```bash pip install -r requirements.txt python scripts/auth.py login ``` Follow the prompts to enter your Atlassian URL, email, and API token. Credentials are stored securely in the system keyring. Create an API token at: https://id.atlassian.com/manage-profile/security/api-tokens Check authentication status: ```bash python scripts/auth.py status ``` Logout (clears both OAuth and API token credentials): ```bash python scripts/auth.py logout ``` ## Backend Selection The scripts automatically detect which backend to use based on your auth type: - **OAuth** → MCP backend (calls Atlassian MCP server tools) - **API token** → REST backend (calls Atlassian REST API directly) All commands work identically regardless of backend. ## Jira (scripts/jira.py) ### Search issues with JQL ```bash python scripts/jira.py search "project = DEV AND status = Open" python scripts/jira.py search "assignee = currentUser() ORDER BY updated DESC" --limit 10 ``` ### Get issue details ```bash python scripts/jira.py get DEV-123 ``` ### Create an issue ```bash python scripts/jira.py create --project DEV --summary "Fix login bug" --type Bug python scripts/jira.py create --project DEV --summary "New feature" --type Story \ --description "Details here" --priority High --assignee "[email protected]" --labels "backend,urgent" ``` ### Update an issue ```bash python scripts/jira.py update DEV-123 --summary "Updated summary" --priority High python scripts/jira.py update DEV-123 --assignee "[email protected]" ``` ### Transition issue status ```bash python scripts/jira.py transition DEV-123 "In Progress" python scripts/jira.py transition DEV-123 "Done" ``` ### Add and list comments ```bash python scripts/jira.py comment DEV-123 --add "This is a comment" python scripts/jira.py comment DEV-123 --list ``` ### List projects and statuses ```bash python scripts/jira.py list-projects python scripts/jira.py list-statuses DEV ``` ### Test authentication ```bash python scripts/jira.py auth-info ``` ### List available MCP tools (OAuth only) ```bash python scripts/jira.py list-tools ``` ## Confluence (scripts/confluence.py) ### Search pages ```bash python scripts/confluence.py search "deployment guide" python scripts/confluence.py search "type=page AND space=DEV AND text~\"deployment\"" python scripts/confluence.py search "onboarding" --limit 10 ``` ### Read a page ```bash python scripts/confluence.py read <page-id> python scripts/confluence.py read <page-id> --json ``` ### List spaces ```bash python scripts/confluence.py list-spaces python scripts/confluence.py list-spaces --limit 50 ``` ### Get space details ```bash python scripts/confluence.py get-space <space-id> ``` ### List pages in a space ```bash python scripts/confluence.py list-pages --space-id <space-id> ``` ### Create a page ```bash python scripts/confluence.py create --title "New Page" --space-id <space-id> python scripts/confluence.py create --title "Guide" --space-id <id> --body "<p>Content here</p>" python scripts/confluence.py create --title "Child" --space-id <id> --parent-id <parent-id> ``` ### Update a page ```bash python scripts/confluence.py update <page-id> --title "Updated Title" python scripts/confluence.py update <page-id> --body "<p>New content</p>" ``` ### Get child pages ```bash python scripts/confluence.py get-children <page-id> ``` ### Test authentication ```bash python scripts/confluence.py auth-info ``` ### List available MCP tools (OAuth only) ```bash python scripts/confluence.py list-tools ``` ## Operations Reference ### Jira | Command | Description | Required Args | |---------|-------------|---------------| | search | Search issues with JQL | jql | | get | Get issue details | issue_key | | create | Create new issue | --project, --summary, --type | | update | Update existing issue | issue_key | | transition | Change issue status | issue_key, status | | comment | Add or list comments | issue_key | | list-projects | List accessible projects | - | | list-statuses | List statuses for project | project_key | | auth-info | Test API connection | - | | list-tools | List MCP tools (OAuth only) | - | ### Confluence | Command | Description | Required Args | |---------|-------------|---------------| | search | Search using CQL | query | | read | Get page content | page_id | | list-spaces | List all spaces | - | | get-space | Get space details | space_id | | list-pages | List pages in a space | --space-id | | create | Create new page | --title, --space-id | | update | Update existing page | page_id | | get-children | Get child pages | page_id | | auth-info | Test API connection | - | | list-tools | List MCP tools (OAuth only) | - | ## JSON Output Add `--json` flag to any script command for machine-readable output. ## Token Management Credentials stored securely using the system keyring: - **macOS**: Keychain - **Windows**: Windows Credential Locker - **Linux**: Secret Service API Service name: `atlassian-skill` OAuth tokens auto-refresh when expired (if refresh token is available).
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.