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Study planner

Skill vikynofebriputra-creator/Orkas-Awesome-AgentSkills/education/skills/study-planner

Access a curated library of high-quality agents and modular skills for Orkas and other agent frameworks to accelerate task automation and development.

Install
npx -y skills add vikynofebriputra-creator/Orkas-Awesome-AgentSkills --skill study-planner

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

6.7 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Study Planner

When To Use

  • The user wants a concrete study or exam-prep schedule from a goal, deadline, current level, available time, and weak areas.
  • The user wants to revise an existing plan after falling behind, changing the deadline, adding tasks, blocking weekdays, or reducing the daily budget.
  • The user asks for check-ins, weekly reports, spaced review, revision checkpoints, or a plan that keeps them accountable.

Do not use for homework tutoring, solving practice problems, generating full course content, generating a full question bank, thesis coaching, material organization, medical/fitness/mental-health plans, or legal/business advice. If the user asks for practice tasks, keep them at the schedule level and use references/retrieval-task-patterns.md; do not author an entire worksheet or quiz set.

How To Call

  1. Collect the required planning fields: measurable goal, deadline, current level, weekday/weekend time budget, and weak areas. If any required field is missing, ask only for the missing fields before drafting the plan.
  2. Confirm optional fields when relevant: existing materials/resources, preferred time granularity, report format, fixed unavailable days, reminder preference, and whether the user wants files saved.
  3. Select the plan shape with references/planning-workflow.md: short sprint, exam prep, long-term learning, skill acquisition, or revision recovery.
  4. Select methodology rules with references/methodology.md: spaced review, Pareto prioritization, Pomodoro task sizing, and Feynman-style output.
  5. Add spaced review slots with references/spaced-practice.md whenever the plan involves memorization, exams, concepts, formulas, vocabulary, procedures, or long-term retention.
  6. If the plan includes review starters or active recall work, use references/retrieval-task-patterns.md to schedule task types only. Do not generate a full set of questions unless the user explicitly asks for practice materials.
  7. Generate the plan progressively:
    • For plans longer than 4 weeks, first show phases, weekly/monthly goals, milestones, and workload fit. Ask whether to expand weekly details.
    • For plans of 4 weeks or less, it is acceptable to show all daily tasks if the workload is manageable.
  8. Before presenting a final daily schedule, run the workload self-check in references/plan-quality-rules.md: daily task time must leave buffer, each task must be checkable, single tasks must be short enough, and weak areas must be weighted.
  9. When the user changes an existing plan, preserve prior progress by default. Ask whether they want to adjust the current plan or start a new plan if the wording is ambiguous.
  10. For reminders, check-ins, and weekly reports, use references/checkins-and-adjustments.md. Create or update reminders only when the user confirms the plan and wants reminder support.

Return Format

Plan outline:

**Planning Inputs**
- Goal:
- Deadline:
- Current level:
- Time budget:
- Weak areas:
- Granularity:

**Workload Fit**
- Available time:
- Planned task time:
- Buffer:
- Pace:

**Phases**
1. Foundation:
2. Strengthening:
3. Sprint / consolidation:

**Weekly Or Daily Plan**
...

**Spaced Review**
...

**Checkpoints**
...

**Next Step**
...

Check-in response:

**Check-In**
- Date:
- Completed:
- Missed:
- Streak:
- Adjustment needed:

**Tomorrow**
- ...

Weekly report:

**Weekly Report**
- Completion rate:
- Strongest area:
- Weakest area:
- Streak:
- Suggested adjustment:

External Dependencies

  • No fixed external dependencies.
  • If current exam dates, registration rules, textbook editions, or latest exam policy matter, verify current information before using it.
  • If reminders are requested, the current environment must have an automation/reminder capability.
  • If the user wants saved reports, the current environment must be able to write files in the selected workspace path.

Limits And Known Issues

  • Do not create direct-submit homework answers, full worksheets, full question banks, or course content.
  • Do not promise a score, exam result, admissions outcome, or guaranteed habit formation.
  • Do not schedule every available minute. Keep a buffer for delays, fatigue, and task overruns.
  • Do not overwrite, delete, or reset an existing plan or progress record without explicit confirmation.
  • Do not shame users who fall behind. Use recovery-first language and reduce the next action to a small restart.
  • For likely minors, collect only learning-relevant information. Do not ask for real name, school, address, contact details, or private identifiers.

Full Examples

User:

Help me make a 30-day IELTS plan. I am around 5.5 now, want 6.5, weekdays 90 minutes and weekends 3 hours. Weakest areas are listening and writing.

Reply:

**Planning Inputs**
- Goal: IELTS 6.5 overall, with weak areas in listening and writing
- Deadline: 30 days from now
- Current level: about 5.5
- Time budget: weekdays 90 min, weekends 180 min
- Granularity: daily

**Workload Fit**
- Available time: ...
- Planned task time: ...
- Buffer: ...

**Phases**
1. Foundation: diagnostic + high-frequency skills
2. Strengthening: timed practice + spaced error review
3. Sprint: mock tests + targeted weak-area repair

**Next Step**
- Confirm this outline, then I can expand Week 1 into daily tasks.

User:

I missed the last 4 days. Can you fix the plan?

Reply:

**Recovery First**
- Missing 4 days does not mean the plan failed. We should reduce today's restart step and redistribute the missed work.

**Adjustment Options**
1. Keep the deadline and drop low-priority tasks.
2. Extend the deadline by a few days.
3. Keep the content but reduce daily scope for one week.

**My recommendation**
- Keep high-priority weak-area tasks, drop low-frequency extras, and restart today with one 25-minute task.

What ships with it: 6 files

17.1 KB alongside SKILL.md

Gives 0 of the 12 instructions most plan spec skills give in ~1.3k tokens

Counted across 1,099 of the 1,860 authors here whose files we hold, read 2026-08-07

  • Ask one question at a timein 51 of 1099
  • Break plans into vertical slicesin 29 of 1099, across 11 files
  • Publish issues in dependency orderin 27 of 1099, across 9 files
  • Iterate until user approves the breakdownin 25 of 1099, across 7 files
  • Explore the repository to understand the codebase statein 24 of 1099, across 7 files
  • Use domain glossary vocabularyin 23 of 1099, across 5 files
  • Apply correct triage labels to published issuesin 23 of 1099, across 5 files
  • Prefer AFK slices over HITLin 22 of 1099, across 7 files
  • Write a specification before writing any codein 22 of 1099, across 14 files
  • Write failing tests before implementation codein 22 of 1099, across 20 files
  • Ask clarifying questions until requirements are concretein 21 of 1099, across 13 files
  • Respect existing architecture decision recordsin 20 of 1099, across 5 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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