email-draft
Use when the user asks to draft, polish, translate, or reply to an email. Produces a clean draft with subject line, greeting, body, and sign-off, plus a…
Hope-native baseline for implementing, fixing, refactoring, and maintaining code: inspect the repository first, protect user changes, keep scope narrow, and finish with direct evidence.
$ npx -y skills add shiwenwen/hope-agent --skill ha-coding-common --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ha-coding-commonContext preview
The summary Claude sees to decide when to auto-load this skill.
Hope-native baseline for implementing, fixing, refactoring, and maintaining code: inspect the repository first, protect user changes, keep scope narrow, and finish with direct evidence.
name: ha-coding-common description: "Hope-native baseline for implementing, fixing, refactoring, and maintaining code: inspect the repository first, protect user changes, keep scope narrow, and finish with direct evidence." paths: ["*.rs", "*.ts", "*.tsx", "*.js", "*.jsx", "*.py", "*.go", "*.java", "*.kt", "*.swift", "*.c", "*.cpp", "*.h", "*.rb", "*.php", "*.sh"]
Use this as the default discipline for coding work. Load a narrower `ha-*` coding skill when planning, debugging, testing, review, multi-agent execution, verification, or Workflow authoring is the real center of the task.
1. Follow the user's current request. 2. Read and follow the nearest `AGENTS.md` and repository instructions. 3. Preserve existing architecture and local conventions unless the task requires changing them. 4. Treat this skill as methodology only. It never grants permissions, changes a mode, or overrides a runtime safety gate.
choosing an implementation.
than editing from a single match.
reformat unrelated work.
Act directly when the behavior, owning file, and verification path are obvious. Do not create a formal plan, new abstraction, or subagent ceremony merely because the task is coding.
Use `ha-coding-plan` when the change spans ownership boundaries, has ordering constraints, carries migration risk, or needs explicit completion criteria. In normal execution mode, continue implementing after the plan when the next action is clear. Plan Mode remains read-only.
Load the smallest useful set. Do not activate every coding skill up front.
Do not silently enable or complete any control plane from skill instructions.
pattern.
compatibility layers.
progress unless the runtime is genuinely executing independent work.
from available evidence.
1. Inspect the final diff and current worktree state. 2. Use `ha-verify` to map requirements to the smallest sufficient evidence. 3. Report what changed, what was verified, and any real residual risk. 4. Do not claim completion from intent, a passing unrelated command, or child Agent completion alone.
🦭 会记忆、能持续推进目标、会动态编排多 Agent 的跨端桌面 AI 助手,也可服务化常驻 NAS / 云端 | A cross-device desktop AI agent with memory, autonomous goals, dynamic workflows, and headless deployment
Repo: shiwenwen/hope-agent
Use when the user asks to draft, polish, translate, or reply to an email. Produces a clean draft with subject line, greeting, body, and sign-off, plus a…
Use when the user mentions 飞书 / Feishu / Lark workspace operations: docx (云文档) read/write, bitable (多维表格) records / views / dashboards, drive (云盘)…
Hope Agent browser automation — the standard `status → tabs → snapshot → act` loop, stale-ref recovery rules, and what to do when login / 2FA / captcha /…
Hope-native review of uncommitted, staged, commit, branch, or PR changes: discover concrete regressions, independently verify candidates, and report actionable…
Hope-native implementation planning for non-trivial code changes: ground the plan in repository evidence, order dependencies, name critical files and risks,…
Hope-native local-first data analysis and Artifact reporting. Use for CSV/XLSX analysis, KPI readouts, metric diagnosis, product/business analysis,…