Install
$ agentstack add skill-hiteshbandhu-skills-i-use-cto-weekly-review ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
CTO Weekly Review — Deep Signal Extraction
Founder-grade weekly report from git history, AI session logs, shell history, and file timestamps — not just commit counts.
Works with any coding agent that can run subagents and shell commands.
Supporting files (read when needed):
- [scripts/collect-git.sh](scripts/collect-git.sh) — git activity across repos
- [scripts/collect-ai-sessions.sh](scripts/collect-ai-sessions.sh) — AI session logs
- [scripts/collect-context.sh](scripts/collect-context.sh) — shell, file edits, GitHub CLI
- [data-sources.md](data-sources.md) — AI log fallback reference
- [scoring.md](scoring.md) — sustainability health score weights and formulas
- [report-template.md](report-template.md) — HTML report structure and design
- [weekly-template.md](weekly-template.md) — markdown summary format
Scripts: read every file under scripts/ before running. They scan git repos, AI session logs, shell history, and local file timestamps. Confirm SINCE, ME, REPOS, and SEARCH_ROOT before execution. Double-check every time.
Step 0 — Scope Confirmation
Ask once (or infer from the request):
| Setting | Default | Notes | |---------|---------|-------| | Date range | last 7 days | Accept "last 14 days", specific dates, "this sprint" | | Repos | crawl ~/ | Accept explicit paths via REPOS env var | | Author email | git config user.email | Ask if multiple identities | | Timezone | system TZ | Critical for working-hour analysis | | Output directory | {SKILL_OUTPUT_DIR}/cto-weekly-review/ | See [../OUTPUT.md](../OUTPUT.md) |
Create the output directory if it does not exist.
Set env vars for collectors: SINCE, ME, REPOS (optional), SEARCH_ROOT (optional).
Step 1 — Data Collection (parallel subagents)
Run three collector subagents in parallel when supported. Each returns structured pipe-delimited output. Keep contexts isolated until Step 2.
Fallback: Run scripts sequentially yourself, or inline if scripts unavailable.
Subagent 1 — Git Collector
SINCE="7 days ago" ME="user@email.com" bash scripts/collect-git.sh
# Optional: REPOS="/path/a /path/b" SEARCH_ROOT="$HOME"
Collects: commits, stats, files, reverts, TODOs, heatmap hours, flow sessions, dependency/schema/infra changes.
Subagent 2 — AI Collector
SINCE="7 days ago" bash scripts/collect-ai-sessions.sh
See [data-sources.md](data-sources.md) for output format. Skip gracefully if empty.
Subagent 3 — Context Collector
SINCE="7 days ago" bash scripts/collect-context.sh
Collects: shell history, tool usage, file edit timestamps, GitHub PRs/issues/reviews.
Step 2 — Signal Processing
Merge all collector output. Compute derived metrics using [scoring.md](scoring.md).
2A. Working Hours Profile
From commit timestamps + AI session timestamps + FSEDIT records:
- Commits by hour and day, peak hour, night/morning/core/evening percentages
- Days active, weekend percentage, daily start/end spans
2B. Focus Session Analysis
Cluster commits with gap > 90 min = new session. Classify per scoring.md: deep work / quick fix / context switching / normal.
2C. Commit Quality Analysis
Classify by size (micro/small/medium/large) and type (feature/fix/refactor/experiment/docs/infra/revert). Compute churn rate, avg files per commit, revert count.
2D. Cross-Skill ADR Linking
Read architecture decisions written this week from the shared output tree:
{SKILL_OUTPUT_DIR}/architecture-review/index.md
{SKILL_OUTPUT_DIR}/architecture-review/ADR-*.md
If the index exists, parse rows and include ADRs whose date falls within the report's date range in:
- Key decisions narrative (Step 3)
- Decisions table in markdown and HTML (Section 9)
- Set Source column to
architecture-reviewwith link to the ADR file
If no ADRs this week, note "No ADRs recorded this week" — do not invent decisions.
2E. AI Leverage
Cross-reference AI session end times with commit timestamps. See scoring.md.
Step 3 — Narrative Synthesis
After processing, write these sections (orchestrating agent or synthesis subagent):
- The week in one line — crisp, honest, specific
- What actually shipped — merged/deployed only
- What's in progress — branches, PRs, WIP
- Key decisions made — include linked ADRs from Step 2D
- Experiments & findings — actual results if detectable
- Debt & blockers — what slowed you down
- Sustainability reflection — honest paragraph on intensity
- Next week top 3 — specific and actionable
Tone: Founder briefing co-founder. Specific numbers. Honest about bad weeks. No corporate fluff.
Step 4 — Generate Reports
Always write both markdown and HTML.
Markdown (required)
Fill [weekly-template.md](weekly-template.md).
Path: {output_dir}/weekly-YYYY-MM-DD.md
HTML (required unless user says "markdown only")
Follow [report-template.md](report-template.md). Link to the .md file in header.
Path: {output_dir}/weekly-YYYY-MM-DD.html
Step 5 — Update Registry
Maintain {output_dir}/index.md:
# CTO Weekly Reviews
| Week ending | Markdown | HTML | Health | Commits | Highlights |
|-------------|----------|------|--------|---------|------------|
Append row (newest first):
| YYYY-MM-DD | [weekly-YYYY-MM-DD.md](weekly-YYYY-MM-DD.md) | [weekly-YYYY-MM-DD.html](weekly-YYYY-MM-DD.html) | [score]/100 | [n] | [one-line summary] |
Step 6 — Output to User
- List saved paths (
.md,.html,index.md) - PDF export hint (Cmd+P or Export PDF button)
- Best content angle from this week
- One honest line about week health — don't sugarcoat
- Note ADRs linked from architecture-review (if any)
Edge Cases
- No git history — use AI sessions + file timestamps; note absence
- No AI session logs — skip AI section; note absence
- No
ghCLI — skip PR section; suggestbrew install gh - macOS vs Linux dates — scripts handle both
date -danddate -v - No shell timestamps — skip shell section silently
- Repos outside
~/— pass explicitREPOSpaths - Monorepos — one repo, break down by package directory
- Multiple git identities — comma-separate emails in
MEor run twice - Subagents unavailable — run three scripts sequentially
- architecture-review index missing — skip ADR linking silently
Invocation Examples
"give me a weekly review"
"generate my CTO report for this week"
"what did I build this week"
"weekly digest, last 14 days"
"markdown only — skip HTML"
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: hiteshbandhu
- Source: hiteshbandhu/skills-i-use
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.