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burndown-chart
burndown-chart には niksavis から収集した 16 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Retrieve up-to-date library documentation with Context7 MCP and ground code changes. Use when tasks involve external APIs, version-sensitive behavior, migrations, deprecations, setup/configuration decisions, or framework/library best-practice questions.
Behavior-preserving refactoring guidance for burndown-chart with layered architecture and safety gates
Install and configure optional development tools for repository contributors. Use when asked to install ripgrep, rg, jq, yq, GitHub Copilot CLI, copilot, or any command-line dev tool. Also use when a tool is reported as "not found", when the user wants to set up their development workstation, or when searching / log-inspection tools are needed. Provides platform-specific install commands for Windows (winget, no admin required), macOS (Homebrew), and Linux (apt/rpm).
Optimally use rg (ripgrep), fd, jq, and yq for code exploration, file discovery, and structured data querying in any repository. Use when asked to search code, find files, grep for patterns, explore a codebase structure, parse JSON or YAML configs, inspect package.json or pyproject.toml, extract API response data, find all usages of a function or variable, or filter results across file types. Works with any language, framework, or project structure.
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
Improve quality and reliability of Python backend changes in burndown-chart
Execute release preparation and changelog updates safely. Use when drafting release notes, preparing version bumps, validating release prerequisites, or checking release workflow completeness before tagging or publishing.
Implement safe and maintainable SQLite persistence changes. Use when updating SQL queries, repository data-access logic, schema migrations, or database integrity and performance behavior.
Diagnose and repair beads (bd) Dolt schema mismatches that prevent issue restoration. Use when bd backup fetch-git returns 0 issues with "Unknown column" warnings, when bd migrate reports version match but issues still fail to restore, after fresh bd bootstrap on a machine with an older binary, or whenever bd status shows 0 issues after a fetch. Covers symptom recognition, column diffing, ALTER TABLE repair via dolt CLI, verification, and re-run of the restore. Platform: Windows (Git Bash primary; PowerShell required for data-pipeline inspection steps).
Full multi-developer beads (bd) issue lifecycle: syncing before new work, searching for duplicates, creating beads with descriptions, publishing state changes immediately so teammates see claims and new tasks without waiting for the next code push. Use when starting new work, creating issues, claiming a bead, updating status to in_progress or blocked, closing completed work, or resolving a duplicate before implementing. Covers the complete lifecycle: fetch -> search -> create -> export -> claim -> export -> work -> close -> push.
Detect, diagnose, and safely resolve circular Python import cycles in burndown-chart. Use when you see ImportError at startup, are about to add a new cross-module import, are refactoring module structure, get a PLC0415 ruff violation, or need to decide whether a lazy import is justified. Covers known cycle map, decision tree, approved wrapper pattern, structural fix protocol, and validation commands.
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Implement reliable Jira data flow and error handling changes
Improve chart correctness and rendering performance
Implement reliable and maintainable JavaScript/clientside callback changes
Implement safe and reliable updater system changes