Log contributions and generate self-review documents with provenance flags.
npx skills add https://github.com/agentflock/myna --skill self-track
Please help me install this Agent Skill. Skill: self-track Source: https://github.com/agentflock/myna/tree/main/skills/self-track Command: npx skills add https://github.com/agentflock/myna --skill self-track
Logs your contributions and generates self-review documents from them. Input path: log what you did. Output path: compile it into usable documents.
Log a contribution using the prompt "log contribution: [description]" to append it to your weekly contributions file.
High-intent search queries and answers about installing and using this skill.
To generate a self-review document, you log individual contributions into a weekly file, then the system aggregates them by period to compile usable self-review drafts. You input contribution logs and receive formatted documents with provenance and inferred flags.
Yes, you can build a promotion packet from weekly contribution logs. The system performs period-based aggregation on your logged entries to compile them into promotion packets, brag docs, and quarterly review documents for engineering, product, and management roles.
The best way to track contributions for a quarterly brag doc is to log entries continuously using a standard prompt format. The system appends these logs to a weekly contributions file and later aggregates them across the quarter to output the final brag document.
Yes, this self-tracking tool works for product and management roles. It generates self-review documents, weekly journals, and promotion packets specifically applicable across engineering, product, and management contexts by aggregating your logged contributions.
The system handles inferred items by running self-calibration checks to surface gaps in your contributions log. It flags these items with an optional [Inferred] tag in the generated drafts or journal files, allowing you to review and verify unverified entries.
You need period-based aggregation for your contributions log to group individual entries into meaningful weekly, quarterly, or per-project contexts. This process compiles raw logs into structured output formats like drafts or journal files, creating coherent self-review documents.
maigenticGenerate 5-year financial models with scenario planning and HTML reports.
m2ai-portfolioAudits promotion packets and self-reviews for unsubstantiated claims and missing context.
hemoryReview daily accomplishments, weekly progress, and plan next-day priorities.
webrix-aiMatch bank feed transactions with accounting records to flag reconciliation differences.
