plan-to-issues

A workflow for turning a project plan into a GitHub parent issue with smaller linked sub-issues, where each sub-issue describes an independently deliverable task.

In plain words
What is it for?
Use it with a plan file, a written plan, or the latest plan in the project to create self-contained GitHub issues and preserve their hierarchy.
Why use it?
It converts planning notes into work items that developers can pick up, branch, review, and merge without needing the original conversation.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/jeremydev87/codingbuddy/plan-to-issues
Any agent
npx skills add JeremyDev87/codingbuddy --skill plan-to-issues
Clone the repo
git clone --depth 1 https://github.com/JeremyDev87/codingbuddy

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,698 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00057 $0.02698
Opus 5 $0.00028 $0.01349
Sonnet 5 $0.00011 $0.00540
Haiku 4.5 $0.00006 $0.00270

Measured 2d ago against content hash 06ec20c60839, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-to-issues 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 2d 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/plan-to-issues/SKILL.md · 356 lines

How it starts

The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan to Issues

Convert a completed PLAN into GitHub parent + sub-issues using native sub-issue API.

Follow every step in order. Stop and report if any step fails.

Three Principles

  1. Independent — Each sub-issue is self-contained. A new session with zero context can start work from the issue alone.
  2. Deployable — Each sub-issue can be independently branched, PRed, and merged without breaking existing functionality.
  3. Structured — Issue body has essentials only. Technical details and background go into comments.

Step 1: Determine Plan Source

Check if $ARGUMENTS is provided:

  • With file (/plan-to-issues docs/plans/my-plan.md): Verify the file exists (test -f "$ARGUMENTS"), then read it. Save the path: PLAN_FILE="$ARGUMENTS" (used later for bidirectional linking).

  • With text (/plan-to-issues "Add caching layer"): If $ARGUMENTS is not a valid file path, use it as plan description. Set PLAN_FILE="" (no file to link back to).

  • Without arguments (/plan-to-issues): Read docs/codingbuddy/context.md and extract the most recent PLAN section's decisions and notes. Set PLAN_FILE="" (no file to link back to).

If no plan source is found, stop and ask the user to run PLAN first.

Step 2: Check GitHub Environment

REPO=$(gh repo view --json nameWithOwner --jq .nameWithOwner)
gh label list --json name --jq '.[].name'

Search for existing issues with similar titles to prevent duplicates:

gh issue list --state open --search "<plan-title-keywords>" --json number,title --jq '.[] | "#\(.number) \(.title)"'

If duplicates found, inform the user and ask whether to continue or update existing issues.

Step 3: Decompose into Deployable Units

Extract work units from the plan. For each candidate unit, verify:

For each unit:
  Can this be merged independently without breaking existing features?
  ├── YES → Keep as separate sub-issue
  └── NO  → Merge with related unit(s) into one sub-issue

  Does this modify the same files as another unit?
  ├── YES → Consider merging or enforce ordering
  └── NO  → Safe for parallel work

Read the full file on GitHub · 356 lines

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. 2d ago First seen · 356 lines · 57 tokens per session scan A 06ec20c60839

Subscribe to this mod's changes

plan-to-issues is a skill published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It adds 57 tokens to every session and 2,698 once invoked, about $0.0003 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.

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