vbcherepanov/total-agent-memory/onboard-report
Claude Code and agent skill by vbcherepanov/total-agent-memory
- community
Checking that the SKILL.md file is still in the repository.
Department head / company viewer view of employee onboarding on the total-agent-memory team server. Use when the user types /onboard-report, asks how new employees are doing with training, who finished which module, quiz scores, wants to grade open quiz answers, or to build/edit the department curriculum or quizzes.
Install
npx vskill@latest install vbcherepanov/total-agent-memory/onboard-reportSKILL.md
/onboard-report — onboarding results and curriculum
Tools are named onboarding_* (possibly client-prefixed). The server enforces access: department heads (team role manager) see and manage their own department; company_viewer and superadmin see every department; superadmin may also manage. A Forbidden error means the user lacks that role — say so.
1. Pick the department
Use $ARGUMENTS if given. Otherwise call onboarding_overview and choose from viewable_teams (report) or manageable_teams (editing).
2. Report
Call onboarding_team_report(team_id) and present:
- a table: employee × module with status (not started / in progress /
quiz available / awaiting review / passed / failed), lessons done, best quiz score, and the relevant date (started, finished, passed);
- who is stuck (failed with no attempts left, or no activity) and lessons
flagged as updated since people studied them (summary.updated_lessons);
- the latest entries of
login plain language.
For one person's detail: onboarding_progress(team_id, user_id).
3. Grade open answers (department head)
For each item in grading_queue, show prompt, rubric and answer, ask the head for points (0..points) and an optional comment, then call onboarding_grade(attempt_id, question_id, score, comment). Grading the last open answer finalizes the attempt. Never grade without the head's decision.
4. Build or edit the curriculum (department head)
onboarding_curriculum_get(team_id)→ current curriculum andrevision.- For a first version,
onboarding_curriculum_draft(team_id)groups the
department's memory into modules/lessons (LLM-polished only if the server has one). Review it with the head: reorder, rename, remove, add lesson text.
- Save with
onboarding_curriculum_set(team_id, expected_revision, curriculum).
Keep existing ids so employees keep their progress; omitted items are archived.
- Quizzes per module:
onboarding_quiz_draft(module_id)(needs a server LLM;
drafts are checked against lesson quotes) or write questions with the head, then onboarding_quiz_set(module_id, expected_revision, questions). Question types: single, multiple (zero-based correct indexes), open (needs rubric). Set pass_threshold and max_attempts per module in the curriculum.
Always show the head what will be saved before calling a *_set tool.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/onboard-report/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/vbcherepanov/total-agent-memory/onboard-report)