Habit Tracker (CSV)
A deliberately bare-bones habit tracker with no app and no account: daily check-ins are appended to a plain habits.csv file ("meditation,2026-09-28,1"), a single python3 stdlib script computes current and best streaks plus a 7-day completion bar, and the read-out rule is compassionate by design — a broken streak is data plus a restart plan, never guilt ("only" and "failed" are banned words in its output).
- What
- A deliberately bare-bones habit tracker with no app and no account: daily check-ins are appended to a plain habits.csv file ("meditation,2026-09-28,1"), a single python3 stdlib script computes current and best streaks plus a 7-day completion bar, and the read-out rule is compassionate by design — a broken streak is data plus a restart plan, never guilt ("only" and "failed" are banned words in its output).
- Cost
- Free
- Needs
- git and python3, plus a folder where the log file will live (e.g. a notes directory). Steps: 1) Clone https://github.com/megandmartin/agent-skills-repo. 2) Copy the habit-tracker folder into your Muse skills directory (e.g. ~/.claude/skills/habit-tracker). 3) Tell Muse where to keep habits.csv — it creates the header once and only ever appends afterwards, never rewrites history. 4) Check in daily in plain language ("log meditation done", "I skipped the run today") and ask for the streak readout or weekly report. Safety: it only appends rows to your own CSV and runs one offline stdlib python3 script — no network access, no installs, no account. What you do yourself: decide which habits to track, keep the CSV somewhere backed up, and do the actual check-ins.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — A deliberately bare-bones habit tracker with no app and no account: daily check-ins are appended to a plain habits.csv file ("meditation,2026-09-28,1"), a single python3 stdlib script computes current and best streaks plus a 7-day completion bar, and the read-out rule is compassionate by design — a broken streak is data plus a restart plan, never guilt ("only" and "failed" are banned words in its output). By @megandmartin (Gen AI Hub), listed here with credit to its creator. Honest caveats: it is minimal on purpose — no reminders, no UI, no mobile app; the python3 streak script has to be run by your Muse or by you in a terminal, and honest skip-days (logged as 0) only help if you actually log them. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: git and python3, plus a folder where the log file will live (e.g. a notes directory). Steps: 1) Clone https://github.com/megandmartin/agent-skills-repo. 2) Copy the habit-tracker folder into your Muse skills directory (e.g. ~/.claude/skills/habit-tracker). 3) Tell Muse where to keep habits.csv — it creates the header once and only ever appends afterwards, never rewrites history. 4) Check in daily in plain language ("log meditation done", "I skipped the run today") and ask for the streak readout or weekly report. Safety: it only appends rows to your own CSV and runs one offline stdlib python3 script — no network access, no installs, no account. What you do yourself: decide which habits to track, keep the CSV somewhere backed up, and do the actual check-ins.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.