Self-understanding and issue reporting for Hope Agent itself. Use when the user asks how Hope Agent works internally, asks about its own source code/docs/runtime behavior, reports a bug/failure/slowness/crash, asks to diagnose logs, or asks to create/submit a GitHub issue for a bug, feature request, or improvement (including when there is no bug). Chinese triggers: 自查, 了解自己, 自我诊断, 排查 Hope Agent, 提交 issue, 需求 issue, 功能改进.
Manage Hope Agent application settings through conversation. Use when the user wants to view or change any app configuration: theme, language, enhanced focus indicators, proxy, temperature, notifications, tool timeout, context compaction, automatic session titles, web search, GitHub issue reporting, memory, embedding, multimodal embedding, dreaming (offline memory consolidation), recap, behavior awareness, smart-mode approvals, plan mode, ask-user-question timeout, tool-result disk spill threshold, embedded server, ACP control plane, MCP subsystem (kill switch / concurrency / backoff), per-skill env vars, or any other setting visible in the Settings UI. Trigger phrases: 'change settings', 'configure proxy', 'set theme to dark', 'turn on enhanced focus indicators', 'turn off notifications', 'adjust temperature', 'show my settings', 'bind the server to all interfaces', 'enable smart mode', 'tune dreaming', 'disable mcp', 'show my channels'. Trigger even when the user doesn't explicitly say 'settings' — any inte
Self-service diagnostics — query Hope Agent's local SQLite databases (logs / sessions / background jobs) directly via the `exec` tool to investigate problems, analyze usage, and locate root causes. Trigger on: user reports something broken / failing / slow / stuck / not responding ('X 不工作', 'X 报错', 'X 卡住', '为什么 X 失败', 'why did X fail', 'show me the logs', 'check what happened'); ad-hoc data analysis ('this week's token usage', '最近调用最多的工具', 'how many subagent runs failed', 'tool error rate', 'find sessions where X happened'); verifying a fix ('did the error stop after I changed Y'). Use BEFORE asking the user to paste log snippets — the data is on disk, query it directly. Read-only — SELECT only, never UPDATE/DELETE/INSERT/DROP.
Answer 'how do I use X / where is setting Y / what does panel Z do' questions about Hope Agent from the built-in bilingual user guide instead of guessing from memory. Trigger on: 怎么用, 在哪设置, 怎么开启, 如何配置, 使用手册, 用户手册, 功能说明, how to use, where is the setting, how do I enable, user guide, manual. The guide covers install & onboarding, models & providers, chat & sessions, memory, knowledge space, design space, tools & permissions, autonomous tasks, multi-agent & cron, IM channels, MCP/hooks/skills, projects & insights, settings & security. NOT for: internal implementation questions (ha-self-diagnosis), error/log investigation (ha-logs), actually changing settings (ha-settings).
Hope-native local-first data analysis and Artifact reporting. Use for CSV/XLSX analysis, KPI readouts, metric diagnosis, product/business analysis, data-quality review, dashboards, charts, analytical reports, 数据分析, 指标诊断, 数据质量, 分析报告, or when the user wants a shareable offline HTML/ZIP/Markdown/PDF result. Produces the versioned AnalysisArtifactV1 contract and registers it with the artifact tool; never guesses missing data or requires public web deployment.
Hope-native review of uncommitted, staged, commit, branch, or PR changes: discover concrete regressions, independently verify candidates, and report actionable findings first without speculative noise.
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.
Hope-native implementation planning for non-trivial code changes: ground the plan in repository evidence, order dependencies, name critical files and risks, define verification, then continue execution when allowed.