Skip to main content
ClaudeWave
Skill188 repo starsupdated today

analytics

Queries local analytics across OrchestKit projects for agent usage, skill frequency, hook timing, team activity, session replay, cost estimation, and model delegation trends. Privacy-safe with hashed project IDs. Supports time-range filtering and comparative analysis. Use when reviewing performance, estimating costs, or understanding usage patterns.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/yonatangross/orchestkit /tmp/analytics && cp -r /tmp/analytics/plugins/ork/skills/analytics ~/.claude/skills/analytics
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Cross-Project Analytics

Query local analytics data from `~/.claude/analytics/`. All data is local-only, privacy-safe (hashed project IDs, no PII).

## Subcommands

Parse the user's argument to determine which report to show. If no argument provided, use AskUserQuestion to let them pick.

| Subcommand | Description | Data Source | Reference |
|------------|-------------|-------------|-----------|
| `agents` | Top agents by frequency, duration, model breakdown | `agent-usage.jsonl` | `${CLAUDE_SKILL_DIR}/references/jq-queries.md` |
| `models` | Model delegation breakdown (opus/sonnet/haiku) | `agent-usage.jsonl` | `${CLAUDE_SKILL_DIR}/references/jq-queries.md` |
| `skills` | Top skills by invocation count | `skill-usage.jsonl` | `${CLAUDE_SKILL_DIR}/references/jq-queries.md` |
| `hooks` | Slowest hooks and failure rates | `hook-timing.jsonl` | `${CLAUDE_SKILL_DIR}/references/jq-queries.md` |
| `teams` | Team spawn counts, idle time, task completions | `team-activity.jsonl` | `${CLAUDE_SKILL_DIR}/references/jq-queries.md` |
| `session` | Replay a session timeline with tools, tokens, timing | CC session JSONL | `${CLAUDE_SKILL_DIR}/references/session-replay.md` |
| `cost` | Token cost estimation with cache savings | `stats-cache.json` | `${CLAUDE_SKILL_DIR}/references/cost-estimation.md` |
| `trends` | Daily activity, model delegation, peak hours | `stats-cache.json` | `${CLAUDE_SKILL_DIR}/references/trends-analysis.md` |
| `summary` | Unified view of all categories | All files | `${CLAUDE_SKILL_DIR}/references/jq-queries.md` |
| `otel` | CC 2.1.117 + 2.1.122 + 2.1.126 OTEL enrichments: top slash commands (user vs model), per-effort cost, effort-vs-success correlation, skill activation by trigger type, most-mentioned `@` targets | `~/.claude/otel/*.jsonl` | `${CLAUDE_SKILL_DIR}/references/otel-fields.md` |

### Quick Start Example

```bash
# Top agents with model breakdown
jq -s 'group_by(.agent) | map({agent: .[0].agent, count: length}) | sort_by(-.count)' ~/.claude/analytics/agent-usage.jsonl

# All-time token costs
jq '.modelUsage | to_entries | map({model: .key, input: .value.inputTokens, output: .value.outputTokens})' ~/.claude/stats-cache.json
```

### Quick Subcommand Guide

**`agents`, `models`, `skills`, `hooks`, `teams`, `summary`** — Run the jq query from `Read("${CLAUDE_SKILL_DIR}/references/jq-queries.md")` for the matching subcommand. Present results as a markdown table.

**`session`** — Follow the 4-step process in `Read("${CLAUDE_SKILL_DIR}/references/session-replay.md")`: locate session file, resolve reference (latest/partial/full ID), parse JSONL, present timeline.

**`cost`** — Apply model-specific pricing from `Read("${CLAUDE_SKILL_DIR}/references/cost-estimation.md")` to CC's stats-cache.json. Show per-model breakdown, totals, and cache savings. On CC >= 2.1.174, cross-check against CC-native `/usage` per-component attribution (see 'CC-Native /usage Attribution' below).

**`trends`** — Follow the 4-step process in `Read("${CLAUDE_SKILL_DIR}/references/trends-analysis.md")`: daily activity, model delegation, peak hours, all-time stats.

**`summary`** — Run all subcommands and present a unified view: total sessions, top 5 agents, top 5 skills, team activity, unique projects. If `~/.claude/otel/*.jsonl` exists with non-empty content, append the three OTEL panels from `otel-fields.md`; otherwise omit them (do not render empty panels).

**`otel`** — Render the OTEL panels: 3 from CC 2.1.117 (top slash commands user-vs-model, per-effort cost, effort-vs-success correlation), 3 from CC 2.1.119 (oversized inputs, pre/post latency, see `otel-fields.md`), 1 from CC 2.1.122 (most-mentioned `@` targets), and 1 from CC 2.1.126 (skill activation by trigger type). See `Read("${CLAUDE_SKILL_DIR}/references/otel-fields.md")` for queries, graceful-fallback rules, and panel semantics. Each panel falls back cleanly to "no OTEL data available (upgrade to CC ≥ X)" when its specific file is absent or empty — render only the panels with data.

## Data Files

Load `Read("${CLAUDE_SKILL_DIR}/references/data-locations.md")` for complete data source documentation.

| File | Contents |
|------|----------|
| `agent-usage.jsonl` | Agent spawn events with model, duration, success |
| `skill-usage.jsonl` | Skill invocations |
| `hook-timing.jsonl` | Hook execution timing and failure rates |
| `session-summary.jsonl` | Session end summaries |
| `task-usage.jsonl` | Task completions |
| `team-activity.jsonl` | Team spawns and idle events |

## Rules

Each category has individual rule files in `rules/` loaded on-demand:

| Category | Rule | Impact | Key Pattern |
|----------|------|--------|-------------|
| Data Integrity | `${CLAUDE_SKILL_DIR}/rules/data-privacy.md` | CRITICAL | Hash project IDs, never log PII, local-only |
| Cost & Tokens | `${CLAUDE_SKILL_DIR}/rules/cost-calculation.md` | HIGH | Separate pricing per token type, cache savings |
| Performance | `${CLAUDE_SKILL_DIR}/rules/large-file-streaming.md` | HIGH | Streaming jq for >50MB, rotation-aware queries |
| Visualization | `${CLAUDE_SKILL_DIR}/rules/visualization-recharts.md` | HIGH | Recharts charts, ResponsiveContainer, tooltips |
| Visualization | `${CLAUDE_SKILL_DIR}/rules/visualization-dashboards.md` | HIGH | Dashboard grids, stat cards, widget registry |

**Total: 5 rules across 4 categories**

## References

| Reference | Contents |
|-----------|----------|
| `${CLAUDE_SKILL_DIR}/references/jq-queries.md` | Ready-to-run jq queries for all JSONL subcommands |
| `${CLAUDE_SKILL_DIR}/references/session-replay.md` | Session JSONL parsing, timeline extraction, presentation |
| `${CLAUDE_SKILL_DIR}/references/cost-estimation.md` | Pricing table, cost formula, daily cost queries |
| `${CLAUDE_SKILL_DIR}/references/trends-analysis.md` | Daily activity, model delegation, peak hours queries |
| `${CLAUDE_SKILL_DIR}/references/data-locations.md` | All data sources, file formats, CC session structure |
| `${CLAUDE_SKILL_DIR}/references/otel-fi
accessibilitySkill

Accessibility patterns for WCAG 2.2 compliance, keyboard focus management, React Aria component patterns, cognitive inclusion, native HTML-first philosophy, and user preference honoring. Use when implementing screen reader support, keyboard navigation, ARIA patterns, focus traps, accessible component libraries, reduced motion, or cognitive accessibility.

agent-orchestrationSkill

Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.

ai-ui-generationSkill

AI-assisted UI generation patterns for json-render, v0.app, Google Stitch, Bolt Cloud, and Cursor workflows. Covers prompt engineering for component and full-stack app generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.

animation-motion-designSkill

Animation and motion design patterns using Motion library (formerly Framer Motion) and View Transitions API. Use when implementing component animations, page transitions, micro-interactions, gesture-driven UIs, or ensuring motion accessibility with prefers-reduced-motion.

api-designSkill

API design patterns for REST/GraphQL framework design, versioning strategies, and RFC 9457 error handling. Use when designing API endpoints, choosing versioning schemes, implementing Problem Details errors, or building OpenAPI specifications.

architecture-decision-recordSkill

Use this skill when documenting significant architectural decisions. Provides ADR templates following the Nygard format with sections for context, decision, consequences, and alternatives. Use when writing ADRs, recording decisions, or evaluating options.

architecture-patternsSkill

Architecture validation and patterns for clean architecture, backend structure enforcement, project structure validation, test standards, and context-aware sizing. Use when designing system boundaries, enforcing layered architecture, validating project structure, defining test standards, or choosing the right architecture tier for project scope.

ascii-visualizerSkill

ASCII diagram patterns for architecture, workflows, file trees, and data visualizations. Use when creating terminal-rendered diagrams, box-drawing layouts, progress bars, swimlanes, or blast radius visualizations.