From learning
Computes daily/weekly study consistency metrics from a study log: current streak, longest streak, days-skipped pattern, weekday-vs-weekend split. Useful for habit tracking.
How this skill is triggered — by the user, by Claude, or both
Slash command
/learning:flow-build-streak-summaryThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Trigger:** Called by `op-review-brief`, `op-monthly-sync`, on-demand.
Trigger: Called by op-review-brief, op-monthly-sync, on-demand.
Produces: Structured streak summary returned to caller; appended to vault/learning/00_current/streak-status.md.
Reads vault/learning/00_current/study-log.md (one line per study session: date, minutes, topic) and computes consistency metrics. This is behavioral telemetry — was the habit kept? — not pace telemetry — is the course on track?
Metrics computed:
current_streak_days — consecutive days with ≥ min_session_minutes (default 10).longest_streak_days (lifetime).days_active_in_window / window_size — e.g. 22/30 for trailing month.weekly_active_days_avg — across last 12 weeks.weekday_vs_weekend_ratio — diagnostic for "do I only study on weekdays?".skipped_pattern — clusters of skipped days (run-length encoding) — if there's a "always Friday" or "always weekend" gap, surface it.target_streak — from config (e.g. "5 weekdays/week").Status flags returned (no writes; caller decides):
on_target — current pace meets target_streak.at_risk — within 1 skip of breaking target.broken — target broken; recovery suggestion = today + minimum-session.vault/learning/00_current/study-log.md.min_session_minutes as active).target_streak config.streak-status.md for inspection.vault/learning/config.md:
min_session_minutes (default 10)target_streak — e.g. 5_per_week_weekdays, 7_per_week, daily, or numeric "X days/week".streak_window_days (default 30)vault/learning/00_current/study-log.md, vault/learning/config.md.vault/learning/00_current/streak-status.md (and returns to caller).npx claudepluginhub fru-dev3/ai-ready-life --plugin learningProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.