Name: research-deep
Author: xfs96192

Imported from xfs96192/claude-config (skills/deep-research/research-en/research-deep/SKILL.md). Install upstream with npx skills add xfs96192/claude-config --skill research-deep. Copyright stays with the author.

Research Deep - Deep Research

Trigger

/research-deep

Workflow

Step 1: Auto-locate Outline

Find */outline.yaml file in current working directory, read items list, execution config (including items_per_agent).

Step 2: Resume Check

Check completed JSON files in output_dir
Skip completed items

Step 3: Batch Execution

Batch by batch_size (need user approval before next batch)
Each agent handles items_per_agent items
Launch web-search-agent (background parallel, disable task output)

Parameter Retrieval:

{topic}: topic field from outline.yaml
{item_name}: item's name field
{item_related_info}: item's complete yaml content (name + category + description etc.)
{output_dir}: execution.output_dir from outline.yaml (default: ./results)
{fields_path}: absolute path to {topic}/fields.yaml
{output_path}: absolute path to {output_dir}/{item_name_slug}.json (slugify item_name: replace spaces with _, remove special chars)

Hard Constraint: The following prompt must be strictly reproduced, only replacing variables in {xxx}, do not modify structure or wording.

Prompt Template:

prompt = f"""## Task
Research {item_related_info}, output structured JSON to {output_path}

## Field Definitions
Read {fields_path} to get all field definitions

## Output Requirements
1. Output JSON according to fields defined in fields.yaml
2. Mark uncertain field values with [uncertain]
3. Add uncertain array at the end of JSON, listing all uncertain field names
4. All field values must be in English

## Output Path
{output_path}

## Validation
After completing JSON output, run validation script to ensure complete field coverage:
python ~/.claude/skills/research/validate_json.py -f {fields_path} -j {output_path}
Task is complete only after validation passes.
"""

One-shot Example (assuming researching GitHub Copilot):

## Task
Research name: GitHub Copilot
category: International Product
description: Developed by Microsoft/GitHub, first mainstream AI coding assistant, ~40% market share, output structured JSON to /home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json

## Field Definitions
Read /home/weizhena/AIcoding/aicoding-history/fields.yaml to get all field definitions

## Output Requirements
1. Output JSON according to fields defined in fields.yaml
2. Mark uncertain field values with [uncertain]
3. Add uncertain array at the end of JSON, listing all uncertain field names
4. All field values must be in English

## Output Path
/home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json

## Validation
After completing JSON output, run validation script to ensure complete field coverage:
python ~/.claude/skills/research/validate_json.py -f /home/weizhena/AIcoding/aicoding-history/fields.yaml -j /home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json
Task is complete only after validation passes.

Step 4: Wait and Monitor

Wait for current batch to complete
Launch next batch
Display progress

Step 5: Summary Report

After all complete, output:

Completion count
Failed/uncertain marked items
Output directory

Agent Config

Background execution: Yes
Task Output: Disabled (agent has explicit output file when complete)
Resume support: Yes

Install research-deep and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "xfs96192-claude-config-research-deep", "kind": "skill", "name": "research-deep", "description": "Read research outline, launch independent agent for each item for deep research. Disable task output.", "publisher": "xfs96192", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Read research outline, launch independent agent for each item for deep research. Disable task output." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/xfs96192/claude-config", "path": "skills/deep-research/research-en/research-deep/SKILL.md", "ref": "5f2f92723780bb2d3c1c8076016da27559ee6159", "url": "https://github.com/xfs96192/claude-config/blob/5f2f92723780bb2d3c1c8076016da27559ee6159/skills/deep-research/research-en/research-deep/SKILL.md", "key": "xfs96192/claude-config/skills/deep-research/research-en/research-deep/SKILL.md" }, "allowed_tools": [ "Bash,", "Read,", "Write,", "Glob,", "WebSearch,", "Task" ] }, "instructions": "# Research Deep - Deep Research\n\n## Trigger\n`/research-deep`\n\n## Workflow\n\n### Step 1: Auto-locate Outline\nFind `*/outline.yaml` file in current working directory, read items list, execution config (including items_per_agent).\n\n### Step 2: Resume Check\n- Check completed JSON files in output_dir\n- Skip completed items\n\n### Step 3: Batch Execution\n- Batch by batch_size (need user approval before next batch)\n- Each agent handles items_per_agent items\n- Launch web-search-agent (background parallel, disable task output)\n\n**Parameter Retrieval**:\n- `{topic}`: topic field from outline.yaml\n- `{item_n", "cost": { "context_tokens": 827 } }

research-deep

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