deep-research

Original：🇺🇸 English

Translated

4 scripts

Deep research on technical topics using EXA tools with intelligent two-tier caching. Use when user asks to research a topic, investigate best practices, look up information, find patterns, or explore architectures. Also invoked by /research command. Triggers: "research", "look up", "investigate", "deep dive", "find information about", "what are best practices for", "how do others implement".

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Sourcejoaquimscosta/arkhe-claude-plugins

Added on2026-02-15

NPX Install

npx skill4agent add joaquimscosta/arkhe-claude-plugins deep-research

SKILL.md Content

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Deep Research

Coordinate deep technical research with intelligent caching for cross-project reuse and team knowledge sharing.

Quick Start

When research is needed:

Resolve scripts path - Find

plugins/core/skills/deep-research/scripts/

(or Glob for

**/deep-research/scripts/cache_manager.py

)

Check cache first - Run

python3 {scripts_dir}/cache_manager.py check "{topic}"

If cached and valid - Run
```
cache_manager.py get "{slug}"
```
and return content directly (no agent needed)
If cache miss - Invoke
```
deep-researcher
```
agent for EXA research, which caches via
```
cache_manager.py put
```
Report findings - Include cache status and promote suggestion

Cache Architecture

Tier	Location	Purpose	Shared
1	`~/.claude/plugins/research/`	Fast, cross-project	User only
2	`docs/research/`	Curated, version controlled	Team

Operations

Operation	Trigger	Fast Path?	Action
Research	`/research <topic>` or natural language	Yes (cache hit)	Check cache → return if valid, else research → cache
Promote	`/research promote <slug>`	Yes	Run `promote.py {slug}` directly
Refresh	`/research refresh <slug>`	No	Spawn agent → fresh research → cache → update promoted
List	`/research list`	Yes	Run `cache_manager.py list` (project-scoped by default, `--all` for everything)

Project Scoping

Research entries are automatically associated with the current git repository when cached. The

list

operation filters by current project by default, so each project sees only its relevant research. Use

--all

to see everything.

Auto-detection: Project name derived from
```
git rev-parse --show-toplevel
```
basename
Multi-project: Entries can belong to multiple projects (associations merge, never replace)
Backward compatible: Existing entries without project associations appear in
```
--all
```
but not in project-scoped views

Scripts

All cache operations use Python scripts in

scripts/

:

Script	Purpose
`research_utils.py`	Shared utilities (imported by all scripts)
`cache_manager.py`	Cache CRUD: get, put, check, list, delete
`promote.py`	Tier 1 → Tier 2 promotion with team notes
`index_generator.py`	README index generation for both tiers

Slug Normalization

Convert topics to cache keys:

"Domain-Driven Design" →
```
domain-driven-design
```
"DDD" →
```
domain-driven-design
```
(via alias)
"React Hooks" →
```
react-hooks
```

Output Format

After research, report:

## Research: {Topic}

**Cache:** {Hit | Miss | Expired}
**Source:** {Cached | Fresh research}
**Path:** ~/.claude/plugins/research/entries/{slug}/

[Brief summary of findings]

Run `/research promote {slug}` to add to project docs.

Agent Delegation

For actual research execution (cache miss or refresh only), delegate to

deep-researcher

agent:

Has MCP tool access (EXA web search, code context)
Uses
```
cache_manager.py put
```
for cache write operations
Structures research output consistently

Additional Resources

WORKFLOW.md - Detailed process flows
EXAMPLES.md - Usage examples
TROUBLESHOOTING.md - Common issues and solutions