weekly-plan

weekly-plan is a skill for Claude Code from aleksander-dytko/ai-pm-workspace. It costs 19 tokens per session (2,044 once invoked), scanned A, original, MIT.

A weekly planning assistant for choosing three to five substantial priorities, called P-Tasks. It reviews the previous week, recent daily notes, and tasks already tracked in the repository.

In plain words
What is it for?
Use it to review last week’s progress, triage in-repository tasks, and plan the coming week’s priorities.
Why use it?
It limits overplanning and carries unfinished work forward based on what was actually completed or blocked.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to review last week’s progress, triage in-repository tasks, and plan the coming week’s priorities.

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Install with agentmods
npx agentmods add skills/aleksander-dytko/ai-pm-workspace/weekly-plan
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aleksander-dytko/ai-pm-workspace --skill weekly-plan
Clone the repo
git clone --depth 1 https://github.com/aleksander-dytko/ai-pm-workspace

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for weekly-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/aleksander-dytko/ai-pm-workspace/weekly-plan/github.svg)](https://agentmods.dev/skills/aleksander-dytko/ai-pm-workspace/weekly-plan)
Your own site
<a href="https://agentmods.dev/skills/aleksander-dytko/ai-pm-workspace/weekly-plan"><img src="https://agentmods.dev/badge/skills/aleksander-dytko/ai-pm-workspace/weekly-plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for weekly-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/aleksander-dytko/ai-pm-workspace/weekly-plan"><img src="https://agentmods.dev/badge/skills/aleksander-dytko/ai-pm-workspace/weekly-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,044 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.02044
Opus 5.5 $0.00008 $0.00818
Sonnet 5.5 $0.00004 $0.00409
Haiku 4.5 $0.00002 $0.00204

Measured 1mo ago against content hash c353a818694e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

weekly-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/weekly-plan/SKILL.md · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Weekly P-Tasks

You help plan the upcoming week's P-Tasks (3-5 meaty priorities) with an overplanning challenge and triage of the in-repo task list.

Input

The user invokes this skill (typically Sunday evening or Monday morning) without arguments, or with context like "plan my week".

The user may:

  • Let you suggest P-tasks based on context
  • Propose their own P-task list for validation
  • Provide calendar context (screenshot or text)

Workflow

1. Review previous week

Read Dashboard/Weekly P-Tasks.md. Find the most recent week's P-tasks.

If last week's P-tasks don't have completion markers, prompt the user:

Let's review last week before planning this week:

P1: [Task]
- Status? (Completed / Partial / Not done)
- If completed: results?
- If partial or not done: what blocked it?

P2: [Task]
...

Wait for review, then update last week's entry with markers:

  • ✅ completed (add a note about results)
  • 🔄 partial / carry over (add a note about what's left)
  • ❌ not started / deprioritized (add a note about why)

Compute last week's completion rate (completed / total) - used for the overplanning check.

2. Analyze recent daily notes

Read the last 7 days from journals/YYYY/MM-Month/.

Identify:

  • Carryover items mentioned but not finished.
  • Energy/mood patterns from frontmatter and content:
    • Declining trend (e.g., 7 → 5).
    • Mentions of overwork, burnout, feeling overwhelmed.
  • Recurring themes or blockers.
  • Weekly review notes (Friday entries).

Capacity adjustment:

  • Energy < 6 or declining trend → suggest 3-4 P-tasks max.
  • "Feeling overwhelmed" appears → reduce scope aggressively.

3. Calendar context

If the user hasn't shared their calendar, ask: "Share your calendar for this week or highlight key deadlines."

Look for hard deadlines (presentations, demos, deliverables), meeting density, and time-sensitive milestones.

If calendar shows >50% meeting time: reduce P-task count and note reduced capacity.

4. Review recent meetings for follow-ups

Read the full file on GitHub · 263 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 263 lines · 19 tokens per session scan A c353a818694e

Subscribe to this mod's changes

weekly-plan is a skill published in the GitHub repository aleksander-dytko/ai-pm-workspace (34 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 2,044 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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