| name | data-access-patterns |
| description | This skill provides guidance on accessing session data efficiently in ultrawork.
Covers JSON vs Markdown rules, token efficiency rationale, and common patterns.
Required knowledge for all ultrawork agents (explorer, planner, worker, verifier, reviewer).
|
| user-invocable | false |
Data Access Patterns
IMPORTANT: Placeholder Notation
This document uses placeholder syntax to indicate values that must be substituted from your agent prompt:
{SCRIPTS_PATH} - Replace with the actual SCRIPTS_PATH value from your prompt
${CLAUDE_SESSION_ID} - Replace with the actual session ID from your prompt
These are NOT bash environment variables. They are text placeholders documenting what values you should use.
Example:
- Documentation shows:
bun "{SCRIPTS_PATH}/task-get.js" --session ${CLAUDE_SESSION_ID}
- Your prompt provides:
SCRIPTS_PATH: /Users/name/.claude/plugins/.../scripts and CLAUDE_SESSION_ID: abc-123
- You should execute:
bun "/Users/name/.claude/plugins/.../scripts/task-get.js" --session abc-123
Core Rule: JSON via Scripts, Markdown via Read
Always use scripts for JSON data. Never use Read tool directly on JSON files.
| Data Type | Access Method | Tool |
|---|
| session.json | session-get.js | Bash |
| context.json | context-get.js | Bash |
| tasks/*.json | task-get.js, task-list.js | Bash |
| exploration/*.md | Direct file read | Read |
| docs/plans/*.md | Direct file read | Read |
Why Scripts for JSON?
1. Token Efficiency
JSON structure wastes significant context tokens:
{
"version": "6.1",
"session_id": "abc-123",
"working_dir": "/path/to/project",
"phase": "PLANNING",
"exploration_stage": "overview",
...
}
Every brace, quote, comma, and key name consumes tokens. For large session files with evidence arrays, this can waste thousands of tokens.
Script output with --field flag:
bun "{SCRIPTS_PATH}/session-get.js" --session ${CLAUDE_SESSION_ID} --field phase
Returns only the value you need—no JSON structure overhead.
2. Field Extraction
Scripts support precise data extraction:
bun "{SCRIPTS_PATH}/session-get.js" --session ${CLAUDE_SESSION_ID} --field phase
bun "{SCRIPTS_PATH}/session-field.js" --session ${CLAUDE_SESSION_ID} --field options.auto_mode
bun "{SCRIPTS_PATH}/context-get.js" --session ${CLAUDE_SESSION_ID} --summary
Benefits:
- Extract only needed data
- Support for nested field access
- Generate AI-optimized markdown summaries
3. Error Handling
Scripts provide consistent validation:
bun "{SCRIPTS_PATH}/session-get.js" --session invalid-id
bun "{SCRIPTS_PATH}/task-get.js" --session ${CLAUDE_SESSION_ID} --id 999
Direct JSON reads require manual error handling for:
- File not found
- Invalid JSON
- Missing fields
- Type validation
4. Storage Format Abstraction
Scripts insulate agents from storage changes:
- File location moves
- Schema version updates
- Field renames
- Structure refactoring
Agents continue working with the same script interface.
5. Compression for AI
Scripts generate AI-friendly formats:
bun "{SCRIPTS_PATH}/task-summary.js" --session ${CLAUDE_SESSION_ID} --task 1
bun "{SCRIPTS_PATH}/evidence-summary.js" --session ${CLAUDE_SESSION_ID}
These formats optimize for AI understanding, not data transfer.
Common Access Patterns
Pattern 1: Check Current Phase
PHASE=$(bun "{SCRIPTS_PATH}/session-get.js" --session ${CLAUDE_SESSION_ID} --field phase)
if [ "$PHASE" = "PLANNING" ]; then
echo "Design phase: no code edits allowed"
fi
Pattern 2: List Open Tasks
bun "{SCRIPTS_PATH}/task-list.js" --session ${CLAUDE_SESSION_ID} \
--status open \
--format json
Pattern 3: Read Task Details
bun "{SCRIPTS_PATH}/task-get.js" --session ${CLAUDE_SESSION_ID} --id 1
bun "{SCRIPTS_PATH}/task-get.js" --session ${CLAUDE_SESSION_ID} --id 1 --field status
Pattern 4: Update Task with Evidence
bun "{SCRIPTS_PATH}/task-update.js" --session ${CLAUDE_SESSION_ID} --id 1 \
--add-evidence "npm test: 15/15 passed, exit 0"
bun "{SCRIPTS_PATH}/task-update.js" --session ${CLAUDE_SESSION_ID} --id 1 \
--status resolved \
--add-evidence "All criteria met"
Pattern 5: Read Exploration Context
bun "{SCRIPTS_PATH}/context-get.js" --session ${CLAUDE_SESSION_ID} --summary
bun "{SCRIPTS_PATH}/context-get.js" --session ${CLAUDE_SESSION_ID} --field key_files
Pattern 6: Read Exploration Details (Markdown)
SESSION_DIR=~/.claude/ultrawork/sessions/${CLAUDE_SESSION_ID}
Then use Read tool:
Read("$SESSION_DIR/exploration/overview.md")
Read("$SESSION_DIR/docs/plans/design.md")
Pattern 7: Get Session Directory Path
SESSION_DIR=~/.claude/ultrawork/sessions/${CLAUDE_SESSION_ID}
ls "$SESSION_DIR/tasks/"
cat "$SESSION_DIR/exploration/overview.md"
Pattern 8: Query Evidence Log
bun "{SCRIPTS_PATH}/evidence-query.js" --session ${CLAUDE_SESSION_ID} \
--type test_result \
--last 5
bun "{SCRIPTS_PATH}/evidence-query.js" --session ${CLAUDE_SESSION_ID} \
--search "npm test"
bun "{SCRIPTS_PATH}/evidence-query.js" --session ${CLAUDE_SESSION_ID} \
--task 1
Anti-Patterns (DO NOT USE)
❌ Direct JSON Read
Read("~/.claude/ultrawork/sessions/${CLAUDE_SESSION_ID}/session.json")
❌ Manual JSON Parsing
cat session.json | grep '"phase"' | cut -d'"' -f4
❌ Hardcoded Paths
cat ~/.claude/ultrawork/sessions/abc-123/tasks/1.json
Use scripts with ${CLAUDE_SESSION_ID} instead.
Quick Reference
| Need | Script | Example |
|---|
| Session phase | session-get.js | --field phase |
| Session directory | Direct path | SESSION_DIR=~/.claude/ultrawork/sessions/${CLAUDE_SESSION_ID} |
| Task details | task-get.js | --id 1 |
| Task status | task-get.js | --id 1 --field status |
| Open tasks | task-list.js | --status open |
| Context summary | context-get.js | --summary |
| Exploration docs | Read tool | Read("$SESSION_DIR/exploration/overview.md") |
| Evidence query | evidence-query.js | --type test_result --last 5 |
| Add evidence | task-update.js | --id 1 --add-evidence "..." |
Token Savings Example
Direct JSON read of session.json (~500 lines):
- Tokens: ~3000 (includes all structure, unused fields)
Script with --field phase:
- Tokens: ~5 (just the value "PLANNING")
Savings: 99.8% token reduction for single field access.
For multiple field lookups across session lifecycle, scripts save tens of thousands of tokens in main context.