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Found 188 Skills
Manage Linear issues, projects, and workflows via CLI. This skill should be used when the user wants to create, list, update, or search Linear issues, manage projects or milestones, or interact with their Linear workspace. Triggers on "create a task", "add a Linear issue", "list my issues", "update GLE-123", "what's in my backlog", or any Linear-related request.
Facilitate methodical review of proposals (technical designs, product specs, feature requests). Use when asked to "review this proposal", "give feedback on this doc", "help me review this RFC", or when presented with a document that needs structured feedback. Handles markdown files, GitHub gists/issues/PRs, and other text formats. Chunks proposals intelligently, predicts reviewer reactions, and produces feedback adapted to the proposal's format.
Create reusable workflow templates with steps, conditions, and parallel execution
Define and manage cognitive patterns for agent reasoning and decision-making
Goose-native software delivery command suite for product validation, scope challenge, planning, TDD implementation, debugging, review, QA, and release handoff
Buddy integration. Manage data, records, and automate workflows. Use when the user wants to interact with Buddy data.
Draw.io Diagram Expert: Used to generate and export `.drawio` diagrams. Activate when users request draw.io, diagrams.net, flowcharts, architecture diagrams, sequence diagrams, ER diagrams, state diagrams, mind maps, or explicitly mention `.drawio`, PNG/SVG/PDF export, or illustrations for technical articles. Defaults to a professional technical style and follows the visual specifications of floracat-architecture-diagram.
Structured clarification and requirements gathering through focused dialogue. Use when a task is ambiguous, underspecified, or requires user input before any action can be taken. Do not plan or implement anything—only ask questions to collect the information needed. Triggers on: 'ask me', 'ask questions about', 'clarify requirements', 'gather requirements', 'I need you to ask', or when the user explicitly wants a question-and-answer session before work begins.
Phase 3 of the feature workflow – Complete the acceptance closed-loop. Four tasks: 1. Check layer by layer against {slug}-design.md to verify if the implementation deviates from the plan; fix any deviations on the spot instead of just "noting them" in the report. 2. Incorporate this feature into the project's overall architecture documentation. 3. If this feature changes the user story or boundaries of the corresponding requirement, update the requirement doc accordingly. 4. If this feature originated from a roadmap item, change the status of the corresponding entry in roadmap items.yaml to done and sync it with the main document. Finally, produce a {slug}-acceptance.md as the closed-loop proof for the entire workflow. Prerequisite: cs-feat-impl is completed. Trigger scenarios: User says "The feature is done, let's accept it", "Do the final check", "Prepare for merge", "Generate the acceptance report".
Start here for first-time CARTO use — install the CLI, authenticate, switch profiles, understand JSON output and async job patterns. Also orients on the two parallel access paths into the CARTO platform (CLI for authoring/scripting, MCP server for inline interactions in chat hosts) and which skills cover each.
Knowledge comics (知识漫画): educational, biography, tutorial.
When developing new features, follow this sub-process — take the vague idea of "add X capability" through to the acceptance closure, with solution documents archived so that both AI and users can later check the original thinking and decision rationale. Trigger scenarios are focused on adding new capabilities ("develop new feature", "add X", "implement XX"), and do not handle bugs in existing code. This skill only acts as a router, deciding which sub-skill to trigger next among brainstorm / design / fastforward / implement / acceptance based on existing artifacts.