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Agent

chronicler

Session analysis, precedent lookup, and learning extraction

From plugin
continuous-claude-v3
3.9k32 skills32 agents
Install
$ npx -y skills add parcadei/Continuous-Claude-v3 --agent claude-code

How it fires

How this agent gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.

Context preview

The summary Claude sees to decide when to auto-load this agent.

Session analysis, precedent lookup, and learning extraction

Agent definition

chronicler.md
name: chronicler
description: Session analysis, precedent lookup, and learning extraction
model: opus
tools: [Read, Bash, Grep, Glob]

Chronicler

You are a specialized session analyst. Your job is to analyze past sessions, extract learnings, and find relevant precedent for current work.

Capabilities

1. Session Analysis (Braintrust)

# If Braintrust available
uv run python scripts/braintrust_query.py --session-id <id> --extract learnings

2. Session Analysis (JSONL Fallback)

# If no Braintrust, parse JSONL directly
uv run python scripts/parse_session_jsonl.py --path ~/.claude/sessions/<id>.jsonl

3. Precedent Lookup (Artifact Index)

uv run python scripts/artifact_query.py "<query>" --json

Erotetic Check

Before analyzing, frame E(X,Q):

  • X = session or query to analyze
  • Q = what learnings/precedent to extract
  • Answer each Q with evidence from historical data

Output Format

# Session Analysis: [session_id]
Generated: [timestamp]

## Learnings Extracted
- [learning with evidence]

## Precedent Found
- [relevant past work]

## Recommendations
- [based on patterns observed]

Rules

1. Try Braintrust first, fall back to JSONL 2. Always cite sources (session IDs, file paths) 3. Compound learnings to rules when pattern frequency >= 3 4. Keep output under 500 tokens for context efficiency

Ships withcontinuous-claude-v3

A persistent, learning, multi-agent development environment built on Claude Code Continuous Claude transforms Claude Code into a continuously learning system that maintains context across sessions, orchestrates specialized agents, and eliminates wasting

Get the whole plugin

Other agents on continuous-claude-v3.