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Add Report

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tddworks
add-report

Guide for adding new report cards to ClaudeBar that analyze local data sources and display metrics with comparison deltas. Use this skill when: (1) Adding a new report/analytics card (e.g., weekly summary, model breakdown, session stats) (2) Showing usage history in a new way, or reading another tool's usage logs (3) Adding comparison cards that show "today vs previous" style deltas (4) Building any feature that follows the DailyUsage pattern (days → report value → card)

Overview

Publishertddworks
RepositoryClaudeBar
Skill nameadd-report
Stars
1.5K
Forks
153
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tddworks on GitHub. Read the source before you install it.

Installation

Install the Add Report AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tddworks/ClaudeBar/tree/main/.claude/skills/add-report
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tddworks/ClaudeBar.git /tmp/ClaudeBar
mkdir -p .claude/skills
cp -r /tmp/ClaudeBar/.claude/skills/add-report .claude/skills/add-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Report in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Add Report on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Add Report is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Add Report Card to ClaudeBar

Add report cards that turn a login's usage history into metrics with comparison deltas, shown in the existing card style, test first.

When to Use

This skill covers report-style features — cards that:

  • Aggregate a login's days of usage (cost, tokens, time, sessions)
  • Compare periods (today vs yesterday, this week vs last week)
  • Read another tool's usage logs (as data in its definition)
  • Display results in cards matching the existing UI

First, which kind of report is it?

Usage history is data now (daily-usage design). A report is almost always a new view over days the login already reads, not new reading code. Place it before anything else:

The person wants…It isYou write
a new look at usage this app already reads — this week vs last, cost per model, a 30-day charta report over days: the page asks account.usageHistory?.days(in: range) and a value in Quotas turns the days into the reporta Quotas value + its tests, a card. No reading code
the same history for another tool (its own log files)a usageHistory block in that provider's definitionJSON (paths, where, fields, prices), its golden tests — no Swift
history from a log format no reader understands yeta new reader, named for the format, in Modules/DataSources/Sources/Internal/Logs/the reader, test-first in DataSourcesTests, then the JSON; a row in ENGINE_DESIGN §1
an answer to a different question than "how much did I use?"a capability (CANONICAL §2.1): declared in the definition, a handle on Account that is nil when not declareddesign first; a runner outside the modules is supplied by the Engine (TARGET_ARCHITECTURE §10)

Never: a field on UsageSnapshot (the kernel is shrinking toward Usage, CANONICAL_MODEL §6), an XxxAnalyzer / XxxAnalyzing protocol, a parser in Sources/Infrastructure, or a vendor-named type in a module.

Reference implementation: references/daily-usage-pattern.md — TODAY'S USAGE: Claude's logs and prices as data, UsageLog in DataSources, account.usageHistory, DailyUsageReport in Quotas, DailyUsageCardView. The Leaderboard reads 30 days the same way (login.history.days(in:) → DailyTokens.summed).

Check the design first — the docs are the source of truth (AGENTS.md): USER_JOURNEYS, CANONICAL_MODEL, TARGET_ARCHITECTURE, then the feature's design.md.

How a report over days flows

text
 <id>.json "usageHistory"  ──►  UsageLog (DataSources)        one per login, built by
                                  reader · PriceList ·          ProviderFactory from the definition
                                  DayAggregator
                                       │
 popover opens (never in the background, #204)
        │                              ▼
 account.usageHistory?.days(in: .last(14))   ──►  [DailyUsageStat]   (closed days from the ledger)
        │
        ▼
 WeeklyReport(days:)            a rich value in Modules/Quotas: deltas, percentages, formatting
        │
        ▼
 WeeklyCardView                 renders what the report says — never compares or counts

Workflow

Phase 0: Place it and design it (get user approval)
    ↓
Phase 1: The report value + tests (TDD Red→Green)
    ↓
Phase 2: Only if needed — the definition's usageHistory, a new reader, or a capability
    ↓
Phase 3: Mockup, card view, reading it on popover open
    ↓
Phase 4: Verify, screenshots on mock data, docs

Phase 0: Place it and design it (MANDATORY)

Step 1: Define the report

  • What does the person want to know? In their words (USER_JOURNEYS).
  • Which kind is it? The table above.
  • Which days? DateRange (.last(n), a week, today vs yesterday).
  • Which logins? A report is per login — two logins are two reports, never summed.
  • How many cards? One per metric, or one combined card.

Step 2: Diagram it

Example: this week vs last week, per login

┌────────────────────────────────────────────────────────────────────┐
│  Providers (module)           Quotas (module)        App           │
│                                                                    │
│  account.usageHistory   ─►  WeeklyReport(days:)  ─►  WeeklyCardView │
│   .days(in: .last(14))       thisWeek / lastWeek      × 3 metrics   │
│   → [DailyUsageStat]         deltas, %, formatted                   │
│                                                                    │
│  No reading code: claude.json's usageHistory already reads the logs│
└────────────────────────────────────────────────────────────────────┘

Step 3: The pieces

PieceModuleOne jobTest
WeeklyReportQuotasturns days into the comparison the card showsTests/DomainTests/<Feature>/
WeeklyCardViewApprenders itAppTests / screenshots
(only if needed) usageHistory block, a reader, a capabilitydefinition / DataSources / Providers—golden tests / DataSourcesTests / ProvidersTests

Step 4: Mockup and approval

A UI change gets a mockup in design-concept/<feature>/ on mock data first (AGENTS.md). Present the doc change, the diagram, the pieces and the mockup; use AskUserQuestion and wait for approval.


Phase 1: The report value (TDD)

Name each test should <outcome> [when <situation>], in the person's words, never a method, type or mechanism verb → Naming tests.

Location: Modules/Quotas/Sources/{Name}Report.swift (beside DailyUsageReport), tests in Tests/DomainTests/{Feature}/{Name}ReportTests.swift (beside DailyUsageReportTests). It is built from days — [DailyUsageStat] — so it never reads a file:

swift
public struct {Name}Report: Sendable, Equatable {
    public let current: [DailyUsageStat]    // e.g. this week
    public let previous: [DailyUsageStat]   // e.g. last week

    /// The days split at `boundary`, as the page asks for them.
    public init(days: [DailyUsageStat], splitAt boundary: Date) { … }

    public var cost: Decimal { current.reduce(0) { $0 + $1.totalCost } }
    public var costChangePercent: Double? {
        let before = previous.reduce(Decimal(0)) { $0 + $1.totalCost }
        guard before > 0 else { return nil }          // nil when there was nothing before
        …
    }
    public var formattedCostDelta: String { … }       // "+$5.00", "-$1.20": the sign always shown
    public var costProgress: Double { … }             // current / (current + previous), 0…1
}

Rules:

  • Decimal for money, TimeInterval for durations; Locale(identifier: "en_US") for currency.
  • Every formatted string and every comparison lives in the value — the view only reads them.
  • A change percent is nil when the previous period is zero; deltas always carry a sign.
  • isEmpty means all zero (&&, not ||).

Write the tests first (state and return values, Chicago school), then the value.


Phase 2: Only if the report needs reading it doesn't have

2a. Another tool's history → its definition

Add a usageHistory block to <id>.json — files, format, where, fields, prices, sessionGap — the shape is in the daily-usage design §2. Golden tests in Modules/Providers/Tests/ over fixture logs (see ClaudeUsageHistoryTests). No Swift.

2b. A log format no reader knows → one reader in DataSources

A reader named for the format (JSONLinesReader, never AcmeLogReader) in Modules/DataSources/Sources/Internal/Logs/, test-first in Modules/DataSources/Tests/Logs/ with neutral fixtures, yielding the one LogRecord every reader yields. Then the JSON uses it. Add its row to ENGINE_DESIGN §1. Only scan files changed within the range (LogFileFinder).

2c. A different question → a capability

Design it in the docs first (CANONICAL §2.1, TARGET_ARCHITECTURE): declared in the definition, its own types in Modules/Providers, an @Observable handle on Account that is nil when not declared — like usageHistory and guestPasses. ProviderFactory.make builds it from the definition; a runner that lives outside the modules (a CLI the App runs, the Keychain) is supplied by the Engine the App builds once. The App never passes anything per provider.


Phase 3: The card, read on popover open

3a. The card view

Location: Sources/App/Views/{Name}CardView.swift. Match the existing cards; DailyUsageCardView is the reference:

swift
struct {Name}CardView: View {
    let metric: {Name}Metric   // one case per card
    let report: {Name}Report
    let delay: Double          // cascading entrance

    @Environment(\.appTheme) private var theme

    var body: some View {
        VStack(alignment: .leading, spacing: 6) {
            // header: icon + LABEL · the large value · the progress bar · the delta line
        }
        .padding(12)
        .background(/* theme.cardGradient fill + theme.glassBorder stroke */)
    }
}

Card styling checklist: .padding(12) · theme.cardGradient + theme.glassBorder (1pt) · theme.cardCornerRadius · theme.fontDesign on text · theme.textPrimary/Secondary/Tertiary · theme.progressTrack · hover scale 1.015 · progress bar animated with delay.

3b. Read the days when the popover opens

Usage history is read when the popover opens, never in the background (#204), and per login — the page asks the selected login, as MenuContentView does:

swift
.task(id: login.id) {
    guard let history = login.usageHistory else { return }   // nil: this login offers none
    let days = await history.days(in: .last(14))
    report = {Name}Report(days: days, splitAt: weekStart)
}

The view renders report; it never compares, counts or decides from the days itself.

3c. Nothing to register

ProviderFactory.make builds usageHistory from the definition, and every provider is found by ProviderCatalog.detect() (TARGET_ARCHITECTURE §10). The App passes nothing per provider.


Phase 4: Verify

  1. tuist generate
  2. xcodebuild test -workspace ClaudeBar.xcworkspace -scheme ClaudeBar-Workspace -destination 'platform=macOS,arch=arm64' — the full run; tuist test skips cached targets
  3. Run the real popover on mock data (scripts/demo-screenshots.sh) — screenshots, never real names, emails or usage
  4. Docs in the same change: the feature's README.md / design.md, one CHANGELOG line (≤300 chars), python3 scripts/gen-docs.py && python3 scripts/check-docs.py --strict

Checklist

Phase 0

  • Placed: report over days · definition usageHistory · new reader · capability
  • Design in the docs, diagram, pieces table, mockup in design-concept/<feature>/
  • User approved

Phase 1

  • {Name}ReportTests written first (deltas, nil percent, signs, progress, empty)
  • {Name}Report in Modules/Quotas, built from [DailyUsageStat] — green

Phase 2 (only if needed)

  • usageHistory block + golden tests, or a format-named reader in DataSources + its ENGINE_DESIGN row, or a declared capability
  • No UsageSnapshot field, no analyzer protocol, no vendor-named Swift

Phase 3

  • {Name}CardView matching the card style
  • Days read on popover open, per login; nothing passed in ClaudeBarApp

Phase 4

  • Full xcodebuild test green
  • Screenshots on mock data
  • Docs and CHANGELOG line; docs check passes

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Add Report AI skill do?

Guide for adding new report cards to ClaudeBar that analyze local data sources and display metrics with comparison deltas. Use this skill when: (1) Adding a new report/analytics card (e.g., weekly summary, model breakdown, session stats) (2) Showing usage history in a new way, or reading another tool's usage logs (3) Adding comparison cards that show "today vs previous" style deltas (4) Building any feature that follows the DailyUsage pattern (days → report value → card)

Why use Add Report on TypingMind?

Because you install it once and use it with any model. Add Report is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Add Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tddworks/ClaudeBar/tree/main/.claude/skills/add-report. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Add Report?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Add Report?

As many as you like. As long as a model supports skills, you can use Add Report with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Add Report AI skill free?

Yes. It is published on GitHub by tddworks under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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