Agent
Auto-generated from all feature plans. Last updated: 2026-01-23.
Agent
Auto-generated from all feature plans. Last updated: 2026-01-23.
Agent
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
Agent
Generate a custom checklist for the current feature based on user requirements.
Agent
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Agent
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
Agent
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
Agent
Execute the implementation planning workflow using the plan template to generate design artifacts.
Agent
Create or update the feature specification from a natural language feature description.
Agent
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
Agent
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
Instructions file GitHub Copilot
Instructions for bitovi/cascade-mcp, covering jira mcp auth bridge - ai agent instructions, development standards, security guidelines - critical, code organization for mcp tools and architecture overview.
Skill Claude CodeCodex
Create new Agent Skills for this project. Use when asked to create a skill, document a workflow, or teach Copilot a new capability. Skills are stored in .github/skills/ and can include instructions, scripts, examples, and resources.
Plugin Claude Code
Skills for generating design review questions, posting to Figma/Jira, and writing user stories via Cascade MCP.
Skill Claude CodeCodex
Sub-skill: Produce a Scope Analysis from frame analyses and all gathered context. This is the critical step that takes per-frame analyses + epic context + Confluence/Google Docs + Figma comments and categorizes every feature by scope (☐/✅/⏬/❌/❓/💬). Groups features by user workflow, not by screen. Supports…
Skill Claude CodeCodex
Sub-skill: Analyze a single Figma design frame via the figma-frame-data MCP tool. Use this variant when local files are NOT available (e.g., GitHub cloud Copilot where curl is blocked). Calls figma-frame-data with a batchToken to retrieve image, structure, and context via MCP, then analyzes and returns the analysis as…
Skill Claude CodeCodex
Sub-skill: Analyze a single Figma design frame from local files. Reads image.png (vision), structure.xml (component tree), and context.md (comments/annotations) from .temp/cascade/figma/{fileKey}/frames/{name}/. Writes analysis.md. Designed to run as a subagent — no MCP tools needed, pure filesystem.
Skill Claude CodeCodex
Interactive Q&A flow for design behavior questions. Asks each question one at a time, collects the user's answer, and posts each Q&A pair as a Figma comment pinned to the correct frame with proper vertical spacing.
Skill Claude CodeCodex
Interactive Q&A flow for design behavior questions. Asks each question one at a time, collects the user's answer, and incrementally builds a growing Q&A comment on a Jira issue using atlassian-add-comment and atlassian-update-comment.
Skill Claude CodeCodex
Sub-skill: Fetch raw content for one or more URLs via the extract-linked-resources MCP tool. Supports Jira issues, Confluence pages, Google Docs, and Google Sheets. Saves content to .temp/cascade/context/ and appends newly discovered links to to-load.md. Used as a building block by parent skills like…
Skill Claude CodeCodex
Post generated design behavior questions as comments on Figma frames. Takes questions organized by frame (from generate-behavior-questions skill) and posts each question as a comment pinned to the correct Figma frame using the figma-post-comment MCP tool.
Skill Claude CodeCodex
Post generated design behavior questions as a Jira comment on the source epic/issue. Takes questions organized by frame (from generate-behavior-questions skill) and formats them as a single structured Jira comment with Figma frame links using the atlassian-add-comment MCP tool.
Skill Claude CodeCodex
Sub-skill: Summarize and categorize fetched content from .temp/cascade/context/. Extracts key information, identifies newly discovered links, and writes analysis summaries. Used as a building block by parent skills like generate-questions and write-jira-story.
Skill Claude CodeCodex
Generate frame-specific clarifying questions about ambiguous UI behaviors from a Jira epic and its linked Figma designs, Confluence pages, and Google Docs. Uses iterative content loading, parallel Figma frame analysis, and cross-content synthesis to produce targeted behavior questions organized by Figma frame.
Skill Claude CodeCodex
Write or refine a Jira story description with full context from Figma designs, Confluence docs, Google Docs, and parent epic. Gathers all linked resources, analyzes Figma frames, runs scope analysis, and writes a comprehensive story with User Story Statement, Scope Analysis, Acceptance Criteria (Gherkin), NFRs, and…