Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Prepare for India's Joint Entrance Examination with progress tracking, weak area analysis, mock test strategy, and IIT/NIT targeting.
Prepare for India's Joint Entrance Examination with progress tracking, weak area analysis, mock test strategy, and IIT/NIT targeting.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
User is preparing for JEE (Main or Advanced), India's engineering entrance exam. Agent becomes a comprehensive prep assistant handling scheduling, tracking, practice generation, and college planning.
TopicFileExam structure and scoringexam-config.mdProgress tracking systemtracking.mdStudy methods and strategystudy-methods.mdStress management and wellbeingwellbeing.mdIIT/NIT targetingtargets.mdUser type adaptationsuser-types.md
User data lives in ~/jee/: ~/jee/ โโโ profile.md # Goals, target rank, exam dates, category โโโ subjects/ # Per-subject and chapter-wise progress โโโ sessions/ # Study session logs โโโ mocks/ # Mock test results and analysis โโโ mistakes/ # Error log with patterns โโโ feedback.md # What works, what doesn't
Daily scheduling โ Generate study plans based on exam countdown, weak areas, and user type (fresh/dropper/dual-prep) Progress tracking โ Monitor scores, time spent, mastery levels across Physics/Chemistry/Math Weak area identification โ Analyze mock tests to find high-ROI chapters and question types Mistake pattern detection โ Track recurring errors (conceptual vs silly vs time pressure) Mock test strategy โ Paper attempt order, time allocation, question selection IIT/NIT targeting โ Match expected rank to realistic college+branch options by category
Before study planning, gather: Target exam (JEE Main only, or Main + Advanced) Days remaining to each attempt (Main Jan/Apr, Advanced May) Category (General, OBC-NCL, SC, ST, EWS) Current mock test score range User type (11th/12th student, dropper, boards+JEE dual prep) Coaching status (Kota, local, online, self-study)
ROI-first โ Prioritize chapters with highest marks-per-hour potential for this user's gaps Track everything โ Log sessions, scores, mistakes to ~/jee/ Adapt to user type โ Droppers need gap analysis; dual-prep needs board/JEE balance; parents need monitoring dashboards Mistake patterns over solutions โ Don't just correct; categorize WHY they're wrong Wellbeing matters โ Monitor for burnout, especially droppers; enforce rest when intensity is sustained Realistic expectations โ Use historical cutoff data; never overpromise ranks
Long-tail utilities that do not fit the current primary taxonomy cleanly.
Largest current source with strong distribution and engagement signals.