weekly-planning

weekly-planning is a skill for Claude Code from serejaris/personal-corp-os. It costs 49 tokens per session (2,235 once invoked), scanned A, original, MIT.

A planning workflow that turns a completed weekly review and existing backlog into prioritized outcomes for one ISO calendar week.

In plain words
What is it for?
Use it to choose weekly outcomes, organize tasks by project, schedule the week, and assign work between a founder and coding agents.
Why use it?
It separates deciding what should happen from doing the work, while accounting for available time and ownership.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Part of the personal-corp-os plugin — 33 skills shipped together

Good fit Use it to choose weekly outcomes, organize tasks by project, schedule the week, and assign work between a founder and coding agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/personal-corp-os/weekly-planning
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 serejaris/personal-corp-os --skill weekly-planning
Clone the repo
git clone --depth 1 https://github.com/serejaris/personal-corp-os

Made for: Claude Code.

Or install personal-corp-os, the plugin that ships this one along with the rest of its 33 skills.

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-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/serejaris/personal-corp-os/weekly-planning/github.svg)](https://agentmods.dev/skills/serejaris/personal-corp-os/weekly-planning)
Your own site
<a href="https://agentmods.dev/skills/serejaris/personal-corp-os/weekly-planning"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/weekly-planning/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-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/personal-corp-os/weekly-planning"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/weekly-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,235 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 177
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 178
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 184
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 197
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 193
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • low Excessive Agency · line 106
    Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.
    Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
How audits are shown
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 $0.00049 $0.02235
Opus 5 $0.00024 $0.01118
Sonnet 5 $0.00010 $0.00447
Haiku 4.5 $0.00005 $0.00224

Measured 12d ago against content hash 6ce8600a5565, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

weekly-planning 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/living_week.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/weekly-planning/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weekly Planning

Overview

Turn retro findings + existing backlog into a prioritized week with clear outcomes, issues in correct repos, and delegation matrix (founder vs agent).

When to Use

  • After weekly retro is complete
  • Monday/Tuesday when planning the week
  • When user says "план на неделю", "приоритизация", "что делаем"

Iron Rule: Planning Is Not Execution

Weekly planning creates a plan. It does not execute the plan.

Allowed during planning:

  • Gather context needed to choose outcomes
  • Read calendars, issues, project boards, CRM/backlog files, and recent notes
  • Draft outcomes, issue proposals, and board updates

Not allowed during planning:

  • Start implementation work for a chosen outcome
  • Create deliverables, briefs, proposals, content, code, or production changes
  • Spawn executor agents for work that belongs to the coming week

If the user asks to "do this now" while planning, finish or pause planning first, then handle that as a separate execution task.

Process

digraph planning {
  rankdir=TB;
  node [shape=box];

  collect [label="1. Collect all tasks"];
  calendar [label="2. Map calendar"];
  group [label="3. Group by surface"];
  eisenhower [label="4. Eisenhower split"];
  outcomes [label="5. Choose outcomes"];
  issues [label="6. Create issues\nin correct repos"];
  board [label="7. Add to board\nwith W{NN} label"];
  page [label="8. Create living\nweekly plan"];

  collect -> calendar -> group -> eisenhower -> outcomes -> issues -> board -> page;
}

1. Collect all tasks

Sources to scan:

  • Retro backlog (label retro:W{NN-1})
  • Open issues across ALL repos: gh search issues --owner $YOUR_OWNER --state open
  • GitHub Projects for active initiatives
  • Calendar events (meetings, lectures, mentoring)
  • User input (new tasks from interview)

2. Map calendar

Read known sources before asking the user. Use calendar, existing issues, project boards, and planning files to establish:

  • Today's date
  • Planned week start/end
  • Fixed events
  • Known deadlines
  • Available capacity

Read the full file on GitHub · 268 lines

Files

What ships with it

5 files 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. 12d ago First seen · 268 lines · 49 tokens per session scan A 6ce8600a5565

Subscribe to this mod's changes

weekly-planning is a skill published in the GitHub repository serejaris/personal-corp-os (225 stars, last pushed 16d ago), licensed MIT. It adds 49 tokens to every session and 2,235 once invoked, about $0.0002 per session on Opus 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.

Related

Other skills, from other repositories

manuscript-review

Pre-publication manuscript audit producing a section-level refactoring report with citation hygiene and submission-readiness checks. Triggers on: "review my paper", "check before submission", "is this ready to submit", "pre-pub checklist", "refactor my paper", "check my references", "does the abstract work".

Mathews-Tom/armory · 70 tokens

figure-rhetoric

Evaluate whether figures and plots in a manuscript effectively communicate the claims they support. Audits chart-type fit, axis design, visual hierarchy, data density, caption interpretation, perceptual accuracy, and narrative arc across 8 dimensions. Triggers on: "do my figures work", "check my plots", "are my graphs…

Mathews-Tom/armory · 123 tokens

humanize

Detects and removes AI-generated writing patterns while preserving meaning and facts. Triggers on: "humanize text", "make this sound human", "remove AI patterns", "rewrite to sound natural", "make this less AI", "de-slop this", "not sound like ChatGPT", "human pass".

Mathews-Tom/armory · 66 tokens

manuscript-provenance

Computational provenance audit verifying every number, table, and figure in a manuscript derives from code, not manual entry. Triggers on: "check provenance", "verify reproducibility", "audit my pipeline", "are my numbers from code", "provenance audit". Companion to manuscript-review (prose audit).

Mathews-Tom/armory · 70 tokens

code-refiner

Deep code simplification and refactoring preserving behavior across Python, Go, TypeScript, Rust. Targets complexity, anti-patterns, readability debt. Triggers on: "simplify this code", "refactor for clarity", "reduce complexity", "make this more readable", "tech debt cleanup", "too much nesting".

Mathews-Tom/armory · 69 tokens

competitive-analyzer

Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter's Five Forces", "market positioning", "moat assessment", "defensibility…

Mathews-Tom/armory · 68 tokens