Create and append structured DEVLOG.md entries with category and rationale.
npx skills add https://github.com/toddlevy/tl-agent-skills --skill tl-devlog
Please help me install this Agent Skill. Skill: tl-devlog Source: https://github.com/toddlevy/tl-agent-skills/tree/main/plugins/tl-devlog/skills/tl-devlog Command: npx skills add https://github.com/toddlevy/tl-agent-skills --skill tl-devlog
Developers need a durable, centralized log of architectural decisions, milestones, incidents, and insights to preserve context across sessions.
Tell me to log a decision by saying "log this" or "devlog" and I will draft and append a DEVLOG.md entry.
High-intent search queries and answers about installing and using this skill.
To maintain a development log, you can append structured entries to a DEVLOG.md file. This captures architectural decisions, milestones, and incidents to preserve historical context across development sessions.
Tracking project incidents and decision rationales is done by appending entries to a root DEVLOG.md file. Entries are stored in reverse-chronological order with category tagging and required rationale text.
To create a DEVLOG entry, prompt the system to log a decision. It drafts an entry requiring a category, title, and rationale, then uses an approval workflow before persisting the commit to DEVLOG.md.
This devlog tracking approach requires no specific dependencies or components. It operates independently to generate frontmatter-driven entries and requires only user approval to commit to the repository.
Yes, you can use this for proactive milestone logging at natural pause points. It supports proactive prompts to capture important events and insights during software development workflows.
weidongxu-microsoftEnumerate azure-legacy-sdk-update-* folders and append missing entries to metadata.csv.
spencerbeggsGenerate a markdown table of contents from documentation file headers.
simon-downesExecute approved implementation plans through milestone-based workflows with progress tracking.
brian915Enforce stepwise human approval in AI-assisted coding sessions.
