Session Handoff — AI skill for Claude Code

Session Handoff

**Date:** 2026-03-29 14:45 **Session:** xmaster v1.3.2 hardening + v2.0 architecture from GPT-Pro deep review **Context usage at handoff:** ~85%

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Active Plan

**Plan file:** `.claude/plans/glittery-tinkering-valley.md` (hardening plan — COMPLETED) **GPT-Pro improvement roadmap:** 15 items, not yet started. Full details below.

What Was Accomplished This Session

xmaster v1.3.2 Hardening (SHIPPED)

• Unicode crash fix: safe_truncate() helper, replaced 14 byte-slicing sites
• char_count: bytes → chars().count()
• Algorithm rebranding: "algorithm scoring" → "post quality lint"
• Engagement rate: bookmarks → quotes in all formulas
• Removed --goal bookmarks (was no-op)
• SQLite hardening: WAL + busy_timeout + synchronous=NORMAL
• Scheduler retry: reset to pending on failure
• README: removed false governor/RFC 5849/--quiet claims
• Published: crates.io v1.3.2, GitHub release, Homebrew tap

OpenClaw

• Issue openclaw/openclaw#56762, PR openclaw/openclaw#56764
• Addressed review feedback, all CI green

X Engagement

• 6 strategic replies to high-reach posts (60Minutes 82K, agingroy, BioAgePodcast, etc.)

Current State

• Branch: main
• Last commit: a4f0c7a Update Cargo.lock for v1.3.2
• Uncommitted changes: NO
• Tests: 22 passing
• Build: CLEAN
• Published: crates.io + GitHub + Homebrew all at v1.3.2

What to Do Next — v2.0 Improvement Pass

Implement GPT-Pro's 15-item roadmap using a swarm of agents, then Codex review.

Agent 1: Preflight Overhaul (items #2, #3, #11)

• Add AnalyzeContext struct (media, mode, target_text, author_voice)
• Add ProxyScores (reply, quote, profile_click, follow_author, share_via_dm, dwell, media_expand, negative_risk)
• Add GoalScores (replies, quotes, shares, follows, impressions)
• Replace flat 70±penalty with proxy estimation + goal scoring
• Keep all existing lint issues
• Change analyze(text, goal) → analyze(text, &AnalyzeContext)
• Persist full analysis blob in store (analysis_json, analysis_version columns)
• Files: src/intel/preflight.rs, src/commands/analyze.rs, src/commands/post.rs

Agent 2: Published Post Ingest + Reply Intelligence (items #1, #12, #13)

• Create record_published_post() in store.rs
• Call from post.rs, thread.rs, scheduler.rs fire()
• Add ReplyStyle enum (Question, DataPoint, Counterpoint, Anecdote, Humor, Agreement)
• Classify replies on post and store the style
• Create reply_outcomes view joining reply actions to metrics
• Files: src/intel/store.rs, src/commands/post.rs, src/commands/thread.rs, src/intel/scheduler.rs

Agent 3: Engagement Intelligence (items #9, #10)

• Unify recommend/feed into one Opportunity scorer
• Add reply_roi, topicality, conversation_openness, size_fit
• Use reciprocity + historical ROI to weight recommendations
• Files: src/commands/engage_recommend.rs

Agent 4: Timing + Metrics + Defaults (items #4, #5, #8)

• Shared TweetMetricsFull with engagement_rate() helper
• Local-time aware