ai-job-search/.claude/commands/html-report.md

/html-report - Generate Application Tracker Dashboard

Generate a self-contained HTML dashboard from job_search_tracker.csv and the application archives under documents/applications/. The output is a single .html file — no server, no dependencies — that can be opened directly in a browser.

Step 0: Parse Arguments

• No argument → output to reports/application-dashboard.html
• A path argument (e.g. /html-report ~/Desktop/report.html) → use that path
• --open flag → after writing, tell the user to open the file (cannot open a browser directly)

Create reports/ if it does not exist.

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Step 1: Collect Data

Read in parallel:

1. job_search_tracker.csv — the primary source. Parse every row into a record with fields: date, company, sector, role, role_type, channel, status, contact_person, fit_rating, notes, cv_file, cover_letter_file, source

2. documents/applications/*/outcome.md — for each resolved application, read the outcome file to get the exact interview stages reached (the checkboxes) and any notes. Merge this into the matching tracker row by company+role fuzzy match (lowercase, ignore punctuation). If an archive exists for a row but there is no match, attach it as extra context anyway.

Status normalisation — map tracker values to five canonical buckets before computing stats:

• applied → Active (resume submitted, no further signal)
• interview → Interview
• offer → Offer
• hired → Hired
• rejected / no_response / no response / offer_declined / interview_only / withdrawn → Rejected/Closed

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Step 2: Compute Summary Stats

From the normalised data compute:

• Total applications
• By status bucket: count per bucket
• By sector: count per unique sector value
• By channel: online vs referral vs other
• By year/season: group by the date field (which may be a year like 2025 or a full date)
• Funnel rates: what % progressed past resume screen (reached Interview or beyond)
• Rejection rate: Rejected/Closed ÷ Total with a resolved status (exclude Active)

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Step 3: Generate the HTML

Write a single self-contained HTML file. All CSS is inline in a <style> block. All JS is inline in a <script> block. Draw the doughnut and bar charts as hand-generated inline SVG — no Chart.js, no CDN, no external dependencies of any kind. The report must render fully offline on every open.

Escaping (required): HTML-escape every CSV/outcome-file value (& < > " ') before interpolating it into the page — this includes table cells, title attributes on truncated notes, and any text placed inside SVG (<text> labels, chart tooltips). Notes and company names copied from job postings routinely contain these characters; unescaped, they break the layout or inject markup into a page the user opens routinely.

Layout

┌─────────────────────────────────────────────┐
│  🔍 Job Search Dashboard    Generated: DATE  │
├──────┬──────┬──────┬──────┬──────────────────┤
│Total │Active│Inter-│Offer │Rejected/Closed   │  ← stat cards
│  N   │  N   │view N│  N   │       N          │
├──────┴──────┴──────┴──────┴──────────────────┤
│  Status breakdown (doughnut) │ By sector (bar)│  ← charts row
├─────────────────────────────────────────────  ┤
│  By channel (bar)  │  Funnel (horizontal bar) │  ← charts row
├──────────────────────────────────────────────  ┤
│  Applications  [Status ▾] [Sector ▾] [🔍 ...]│  ← table with filters
│  date │ company │ sector │ role │ status │ ... │
│  ...                                          │
└───────────────────────────────────────────────┘

Design spec

• Colour palette: CSS custom properties. Status colours:
  • Active: #3b82f6 (blue)
  • Interview: #f59e0b (amber)
  • Offer: #8b5cf6 (purple)
  • Hired: #22c55e (green)
  • Rejected/Closed: #ef4444 (red)
• Font: system-ui stack, no web fonts
• Stat cards: white background, subtle shadow, large bold number, label below, left border in status colour
• Charts: contained in a 2-column grid on wide screens, stacked on narrow
• Table:
  • Alternating row shading
  • Status column uses a coloured pill/badge
  • source column renders as a hyperlink if the value is a URL (starts with http)
  • Empty cells render as —
  • Client-side filter: a text search input filters rows across company + role + sector; the status and sector dropdowns filter independently; all three combine (AND)
  • Rows are sorted newest-first by default (by date descending, then alphabetically by company)
• Responsive: usable at 900px+, not broken below that
• Footer: "Generated by Claude Code · ai-job-search · {ISO date}"

Charts (inline SVG)

1. Status doughnut — slices for each status bucket, colours from the palette above
2. By sector bar (horizontal) — company count per sector, sorted descending
3. By channel bar — online / referral / other
4. Application funnel (horizontal bar) — Applied → Interview → Offer → Hired, each bar = count reaching that stage

Build each chart as a hand-written <svg> element: compute bar lengths/doughnut arc angles from the stats in Step 2 and emit the <rect>/<path>/<circle> and <text> elements directly — no charting library, no <canvas>. Each <svg> has role="img" and an aria-label summarizing the chart (e.g. "Status breakdown: 3 Active, 2 Interview, 1 Offer"). Wrap each in a <div class="chart-card"> with an <h3> title above. Remember to escape any label/value text drawn into <text> nodes per the escaping rule above.

Table: columns to include

Date · Company · Role · Sector · Channel · Status · Notes (truncated to 80 chars with title tooltip for full text) · Source (link or —)

Columns with only empty values across all rows may be omitted.

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Step 4: Write and Confirm

Write the complete HTML to the output path using the Write tool.

Then present:

Dashboard generated: <output path>

Open it in any browser — no server needed.

Summary:

• Total applications: N
• Active: N · Interview: N · Hired: N · Rejected/Closed: N
• Funnel: N% progressed past resume screen

Re-run /html-report any time after adding new entries via /outcome to refresh the dashboard.

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Design Principles

• Self-contained. One file, fully offline — charts are inline SVG, no CDN or external requests of any kind.
• Data-only. This command reads and renders; it never writes to the tracker or archive.
• Idempotent. Re-running overwrites the previous report at the same path — no accumulation.
• Graceful on sparse data. With only a few rows (as now), charts render correctly for small N; the table is the primary value. Do not suppress charts just because N is small.
• No fabrication. Every number in the report comes directly from the CSV or outcome files. Do not infer or estimate missing fields.