agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis",
$ npx -y skills add nicepkg/auto-company --skill deep-research --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/deep-researchContext preview
The summary Claude sees to decide when to auto-load this skill.
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis",
name: deep-research description: Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.
<!-- STATIC CONTEXT BLOCK START - Optimized for prompt caching --> <!-- All static instructions, methodology, and templates below this line --> <!-- Dynamic content (user queries, results) added after this block -->
**Purpose:** Deliver citation-backed, verified research reports through 8-phase pipeline (Scope → Plan → Retrieve → Triangulate → Synthesize → Critique → Refine → Package) with source credibility scoring and progressive context management.
**Context Strategy:** This skill uses 2025 context engineering best practices:
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Request Analysis ├─ Simple lookup? → STOP: Use WebSearch, not this skill ├─ Debugging? → STOP: Use standard tools, not this skill └─ Complex analysis needed? → CONTINUE Mode Selection ├─ Initial exploration? → quick (3 phases, 2-5 min) ├─ Standard research? → standard (6 phases, 5-10 min) [DEFAULT] ├─ Critical decision? → deep (8 phases, 10-20 min) └─ Comprehensive review? → ultradeep (8+ phases, 20-45 min) Execution Loop (per phase) ├─ Load phase instructions from [methodology](./reference/methodology.md#phase-N) ├─ Execute phase tasks ├─ Spawn parallel agents if applicable └─ Update progress Validation Gate ├─ Run `python scripts/validate_report.py --report [path]` ├─ Pass? → Deliver └─ Fail? → Fix (max 2 attempts) → Still fails? → Escalate
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**AUTONOMY PRINCIPLE:** This skill operates independently. Infer assumptions from query context. Only stop for critical errors or incomprehensible queries.
**DEFAULT: Proceed autonomously. Derive assumptions from query signals.**
**ONLY ask if CRITICALLY ambiguous:**
**When in doubt: PROCEED with standard mode. User will redirect if incorrect.**
**Default assumptions:**
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**Mode selection criteria:**
**Announce plan and execute:**
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**All modes execute:**
**Standard/Deep/UltraDeep execute:**
**Deep/UltraDeep execute:**
**Critical: Avoid "Loss in the Middle"**
**Progressive Context Loading:**
**Anti-Hallucination Protocol (CRITICAL):**
**Parallel Execution Requirements (CRITICAL for Speed):**
**Phase 3 RETRIEVE - Mandatory Parallel Search:** 1. **Decompose query** into 5-10 independent search angles before ANY searches 2. **Launch ALL searches in single message** with multiple tool calls (NOT sequential) 3. **Quality threshold monitoring** for FFS pattern:
4. **Spawn 3-5 parallel agents** using Task tool for deep-dive investigations
**Example correct execution:**
[Single message with 8+ parallel tool calls] We
全自主 AI 公司,24/7 不停歇运行 14 个 AI Agent,每个都是该领域世界顶级专家的思维分身。 自主构思产品、做决策、写代码、部署上线、搞营销。没有人类参与。 基于 Claude Code Agent Teams 驱动。 ⚠️ 实验项目 — 还在测试中,能跑但不一定稳定。目前仅支持 macOS。
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