
Desk Journal
Keeps a persistent work log so an agent can pick up where it left off across sessions.
- Repository
- github/awesome-copilot
- Stars
- 40,703
- Licence
- MIT
- Files
- 1 file
What it does
This skill teaches an AI agent to keep a running journal file for a named work area (a "desk"). At the end of a session, it appends a short entry saying what was done, the current state, and the next step; at the start of the next session, it reads the latest entry to resume without re-discovering everything. It also covers a closing summary when a desk is wound down.
Great for
- Long-running projects where work spans many separate agent sessions
- Teams that want a readable handoff trail between people or agents
- Anyone who wants an agent to record dead ends so they are not repeated
Skip it if
- One-off questions or short tasks that finish in a single session, where a journal adds no value
- Situations where the journal would hold sensitive data, since entries are plain text files that persist and are not secured by the skill
Try asking
- “Write an end-of-session journal entry for the security scan desk, including what didn't work and the next step.”
- “Read the journal for the reporting desk and tell me where we left off.”
- “Close out the migration desk and write a handoff summary with its artifacts.”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
desk-journal.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip desk-journal.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip desk-journal.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Ask the agent to read the journal at the start of each session so it resumes from the latest next step.
- Keep entries brief (3-5 lines); move larger material into a separate artifact file and link to it.
- Say what didn't work, not only what succeeded, so future sessions avoid repeating dead ends.
What's inside
- SKILL.md
Redistributed unmodified from github/awesome-copilot under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.