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Organize Linear or Jira backlogs through the Composio CLI, a command-line tool. Fetch issues in bulk, group likely duplicates, update labels, priorities, and owners, then share a summary of changes in Slack.

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• Weekly reviews of unassigned or stale issues
• Post-release bug reviews and owner assignment
• Grouping duplicate reports and linking related issues

Connect AI agents to Jira and Confluence through MCP, a protocol for accessing external tools. This skill guides issue searches and updates, page management, sprint workflows, authentication setup, and troubleshooting of Atlassian integrations.

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• Find Jira issues by assignee or status
• Search and update Confluence pages
• Turn meeting notes into Jira ticket updates

Turn validated Codex Security findings into tracked work in Linear, Jira, GitHub issues, or draft GitHub security advisories. Check for duplicates, preview exact content and audience, and record approved creations, updates, or reuse.

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• Create issues from validated security findings
• Find and reuse existing issues for the same finding
• Register a reviewed batch of security issues

Evaluate supplied security findings against repository code and security policy without running the software. Classify each claim as confirmed, not actionable, or needing review, then rank relevant findings by exploitability and explain evidence gaps and next steps.

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• Assess findings from a vulnerability scanner
• Review security tickets from Jira or Linear
• Evaluate GitHub alerts and security advisories

Adapt a Claude Code or Cowork plugin to an organization's tools and workflows. Update instructions, team settings, and service connections, then package the customized files for installation while preserving the plugin's original name.

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• Set up a plugin template for a team's tools
• Adjust standup instructions to match team practices
• Update service connections and project settings

Create a Claude Cowork plugin through guided conversation, from defining its purpose to designing components and checking files. Receive a packaged .plugin file containing the skills and integrations needed for the agreed workflow.

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• Creating a Claude Cowork plugin from an idea
• Packaging work instructions as reusable skills
• Designing a plugin with external service connections

Review a product launch against the team's legal framework and risk standards. Produce a category-by-category memo with required actions, owners, and deadlines, plus a separate tracker comment that omits internal legal reasoning.

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• Reviewing legal issues before a product launch
• Listing required actions, owners, and deadlines
• Checking privacy and AI issues in a new feature

Set up product legal workflows through an interview about company context, review practices, and approval routes. Past launch reviews help establish which risks block release, while connector checks record which tracking and document services actually respond.

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• Setting up product legal workflows for the first time
• Recording company risk thresholds from past launch reviews
• Updating review practices when onboarding product counsel

Update individual settings in an existing product counsel profile, such as risk thresholds, escalation contacts, launch review categories, or marketing claims rules. The guided process explains downstream effects, checks inconsistencies, and saves confirmed changes without repeating setup.

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• Adjust risk thresholds used in product legal reviews
• Update escalation contacts and product partners
• Add a category to the launch review framework

Set up Git workflows for Gitee, Coding.net, 极狐 GitLab, and CNB with platform-specific connection and authentication examples. Choose branching rules, standardize Chinese commit messages, and adapt automated testing and deployment configurations to your team's workflow.

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• Configure connections and authentication for Chinese Git platforms
• Choose branching rules that fit the team
• Standardize Chinese commit messages and review templates

Turn reusable workflows and project conventions into concise instructions for AI agents. Structure SKILL.md with required metadata, move supporting material into local files, and register project skills in AGENTS.md when applicable.

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• Turning a recurring workflow into an agent skill
• Documenting project conventions for AI agents
• Moving lengthy explanations into supporting files

Choose charts and diagrams that fit the data and the question readers need to answer. Plan layouts and interactions for large screens and mobile devices, or critique existing visuals for misleading comparisons, unclear labels, and hidden information.

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• Choose a chart for a specific analytical question
• Review an existing chart for misleading presentation
• Plan dashboard layouts for desktop and mobile

Evaluate supplied security findings against repository code and security policy without running the software. Classify each claim as confirmed, not actionable, or needing review, then rank relevant findings by exploitability and explain evidence gaps and next steps.

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• Assess findings from a vulnerability scanner
• Review security tickets from Jira or Linear
• Evaluate GitHub alerts and security advisories

Turn validated Codex Security findings into tracked issues in Linear, Jira, or GitHub, or draft GitHub security advisories. Checks duplicates and visibility, previews exact changes for approval, and verifies results after writing.

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• Create issues for validated security findings
• Check whether a finding is already tracked
• Register a reviewed batch of findings

Design, review, and implement Gantt charts for project schedules. Assess source data, task dependencies, and resource needs, then define suitable views, editing behavior, rendering tools, accessibility, exports, and tests—or recommend a clearer alternative.

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• Choose between a Gantt chart, Kanban board, or timeline
• Map project-management exports into schedule data
• Review dependencies, critical path, and baseline variance

Manage Jira issues through Atlassian MCP, a connection that lets an AI agent use Jira tools. Find tasks, create issues and subtasks, update assignees, add comments, and change status using the detected project configuration.

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• Finding assigned tasks that are in progress
• Creating tasks with requirements and acceptance criteria
• Moving completed issues to Done

Find and manage documentation in Confluence through Atlassian MCP, a connection to Atlassian tools. Search in plain language, read and summarize pages, create or update structured content, browse spaces, and add page comments.

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• Finding and summarizing onboarding documentation
• Adding a section to existing API documentation
• Creating an architecture decision record in a specified space

Create a technical design document before implementation by answering questions about the problem, scope, architecture, risks, and delivery plan. The skill adjusts sections to project size and covers security, testing, monitoring, and recovery where relevant.

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• Documenting the design of a new feature
• Planning an external service integration
• Preparing a system migration proposal

Create new Feishu cloud documents from Markdown, a text format for structured content. Choose a folder or knowledge library location, and include tables, images, and diagrams in meeting notes or project plans.

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• Create meeting notes in a specified folder
• Write project plans with tables and diagrams
• Add technical documents under a knowledge library page

Guides you through connecting external services to Claude Code plugins using MCP, a protocol for exposing services as tools. Covers connection types, configuration files, authentication, tool permissions, and testing.

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• Connecting a database to a Claude Code plugin
• Configuring OAuth or token authentication
• Building workflows across multiple MCP servers

Turn previously retrieved Jira requirements and Confluence documents into a structured implementation plan. Tasks are grouped into frontend, backend, and infrastructure work, with architectural reasoning, blocking dependencies, and risks paired with mitigation measures.

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• Creating an implementation plan from Jira requirements
• Dividing work across frontend, backend, and infrastructure
• Identifying blocking dependencies between tasks

Test chatbots and AI agents for injected instructions, data leaks, and unauthorized access across accounts. It emphasizes reproducible evidence, verified external requests, and real data access rather than trusting the model's claims.

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• Test document-based prompt injection
• Verify data leaks through tools or rendered images
• Check data isolation between accounts

Guides you through connecting external services to Claude Code plugins using MCP, a protocol for exposing services as tools. Covers connection types, configuration files, authentication, tool permissions, and testing.

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• Connecting a database to a Claude Code plugin
• Configuring OAuth or token authentication
• Building workflows across multiple MCP servers

Update/publish the Apache Tika website (tika-site SVN repo) for a release — step 17 of the Release Process. Handles the 4.x track (Changes page + aggregate javadoc + Antora docs branch) vs the 3.x maintenance track (full per-version apt docs + javadoc). Use for "update the site", "publish the site for X.Y.Z", "the website part of the release".

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