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claude-code

Arkhe-claude-plugins deep-research

install
source · Clone the upstream repo
git clone https://github.com/joaquimscosta/arkhe-claude-plugins
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/joaquimscosta/arkhe-claude-plugins "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/core/skills/deep-research" ~/.claude/skills/joaquimscosta-arkhe-claude-plugins-deep-research && rm -rf "$T"
manifest: plugins/core/skills/deep-research/SKILL.md
source content

Deep Research

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

Quick Start

When research is needed:

  1. Scripts path - 
    ${CLAUDE_SKILL_DIR}/scripts/
  2. Single fetch call - Run 
    python3 ${CLAUDE_SKILL_DIR}/scripts/cache_manager.py fetch "{topic}"
    (combines check+get)
  3. If 
    exists=true
     - Present the 
    content
    field directly (no agent needed). Suggest promote if valid, refresh if expired.
  4. If 
    exists=false
     - Invoke 
    deep-researcher
    agent for EXA research, which caches via 
    cache_manager.py put
  5. Report findings - Include cache status and promote suggestion

Cache Architecture

TierLocationPurposeShared
1
~/.claude/plugins/research/
Fast, cross-projectUser only
2
docs/research/
Curated, version controlledTeam

Operations

OperationTriggerFast Path?Action
Research
/research <topic>
or natural language		Yes (cache hit)Check cache → return if valid, else research → cache
Promote
/research promote <slug>
YesRun 
promote.py {slug}
directly
Refresh
/research refresh <slug>
NoSpawn agent → fresh research → cache → update promoted
List
/research list
YesRun 
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 

${CLAUDE_SKILL_DIR}/scripts/
:

ScriptPurpose
research_utils.py
Shared utilities (imported by all scripts)
cache_manager.py
Cache CRUD: fetch, 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