Best use case
lisa-epic-status is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Show detailed status for an epic
Teams using lisa-epic-status should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/lisa-epic-status/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How lisa-epic-status Compares
| Feature / Agent | lisa-epic-status | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Show detailed status for an epic
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Epic Status **Epic name:** Provided via arguments (already parsed by command) Use the `get_epic_status` tool to get detailed status. Display with checkbox format: ``` Epic: initial-setup Status: Spec phase complete Phase Progress: ✓ Spec - complete (.lisa/epics/initial-setup/spec.md) ○ Research - not started ○ Plan - not started ○ Execute - not started Spec Summary: [First 3-4 lines of spec.md] Next Actions: • /lisa-continue initial-setup - Continue to research phase • /lisa-yolo initial-setup - Auto-execute all remaining phases ``` **If epic doesn't exist:** ``` Epic '<name>' not found. Create it with: /lisa-create-epic <name> ```
Related Skills
advanced-statusline
Implement AI-powered statusline with session tracking, plan detection, workspace emojis, and intelligent caching for Claude Code
analyzing-branch-status
Use when user wants detailed status report for single autonomy branch including iteration timeline and metrics progression
agentuity-cli-git-status
Show GitHub connection status for current project. Requires authentication
api-provider-status
API 供应商状态查询与模型切换助手。查询当前模型、供应商、用量、余额，列出可切换的模型。当用户询问"当前模型"、"用量"、"余额"、"切换模型"、"可用模型"时触发。支持通过浏览器自动化登录中转站后台查询余额。
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
obsidian-daily
Manage Obsidian Daily Notes via obsidian-cli. Create and open daily notes, append entries (journals, logs, tasks, links), read past notes by date, and search vault content. Handles relative dates like "yesterday", "last Friday", "3 days ago".
obsidian-additions
Create supplementary materials attached to existing notes: experiments, meetings, reports, logs, conspectuses, practice sessions, annotations, AI outputs, links collections. Two-step process: (1) create aggregator space, (2) create concrete addition in base/additions/. INVOKE when user wants to attach any supplementary material to an existing note. Triggers: "addition", "create addition", "experiment", "meeting notes", "report", "conspectus", "log", "practice", "annotations", "links", "link collection", "аддишн", "конспект", "встреча", "отчёт", "эксперимент", "практика", "аннотации", "ссылки", "добавь к заметке".
observe
Query and manage Observe using the Observe CLI. Use when the user wants to run OPAL queries, list datasets, manage objects, or interact with their Observe tenant from the command line.
observability-review
AI agent that analyzes operational signals (metrics, logs, traces, alerts, SLO/SLI reports) from observability platforms (Prometheus, Datadog, New Relic, CloudWatch, Grafana, Elastic) and produces practical, risk-aware triage and recommendations. Use when reviewing system health, investigating performance issues, analyzing monitoring data, evaluating service reliability, or providing SRE analysis of operational metrics. Distinguishes between critical issues requiring action, items needing investigation, and informational observations requiring no action.
nvidia-nim
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
numpy-string-ops
Vectorized string manipulation using the char module and modern string alternatives, including cleaning and search operations. Triggers: string operations, numpy.char, text cleaning, substring search.
nova-act-usability
AI-orchestrated usability testing using Amazon Nova Act. The agent generates personas, runs tests to collect raw data, interprets responses to determine goal achievement, and generates HTML reports. Tests real user workflows (booking, checkout, posting) with safety guardrails. Use when asked to "test website usability", "run usability test", "generate usability report", "evaluate user experience", "test checkout flow", "test booking process", or "analyze website UX".