run-planning

A workflow guide for discovering and planning a new project effort before coding begins. It moves through checking context, defining scope, researching existing solutions, writing a detailed specification, planning a release, and splitting work into tasks.

In plain words
What is it for?
Use it to start or resume feature planning, update planning-status files, research prior work, and prepare a feature for implementation.
Why use it?
It prevents planning work from starting without a clear project target and helps turn an unclear initiative into implementable work.

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/danielvm-git/bigpowers/run-planning
Any agent
npx skills add danielvm-git/bigpowers --skill run-planning
Clone the repo
git clone --depth 1 https://github.com/danielvm-git/bigpowers

Made for: Claude Code, Codex.

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,141 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 $0.00068 $0.01141
Opus 5 $0.00034 $0.00571
Sonnet 5 $0.00014 $0.00228
Haiku 4.5 $0.00007 $0.00114

Measured 2d ago against content hash 35a039ee8045, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

run-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 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.

.cline/skills/run-planning/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

story: e24s03

Run Planning

HARD GATE — Before running planning skills, confirm the epic capsule exists and the active story is clear. Planning without a target is noise.

Role: DISCOVER-PHASE ADVANCER — orchestrates the discover-phase sequence; hands off to the scope-work → slice-tasks → plan-work spine for implementation planning.

Updates specs/planning-status.yaml as discover-phase skills complete. This is NOT a duplicate of plan-work — it orchestrates the pre-coding discovery phase only (Discover phase in the 6-phase PMBOK lifecycle), handing off to the planning spine for implementation detail.

When to use

  • Starting a brand-new feature or initiative with no prior planning artifacts
  • Returning to a stalled initiative and needing to resume the discovery workflow
  • After orchestrate-project hands off to the Discover phase
  • When a new epic emerges from change-request and needs to go through full discovery

Pre-flight

  • Does specs/planning-status.yaml exist? If not, create it with the default workflow keys.
  • Does specs/state.yaml have active_flow: planning? Set it if not already.
  • Is the epic identified in release-plan.yaml? The epic must exist before discovery begins.

Workflows (default keys)

  • survey-contextscope-workresearch-firstelaborate-spec (optional) → plan-releaseslice-tasks

Each key maps to a skill invocation. Optional keys can be skipped; required keys must complete before the phase advances.

Process

  1. Read state — Read specs/planning-status.yaml and specs/state.yaml. Understand where discovery stands: which workflow keys are done, which are pending, and which are optional (can be skipped).

  2. Find next step — Find the first workflow key with status: pending. If the key is optional, check if the user wants to run it. If not, mark it skipped.

2a. Context capsule check — Before invoking elaborate-spec, check whether a fresh specs/planning-context.yaml exists:

test -f specs/planning-context.yaml && python3 -c "
import yaml, datetime
d = yaml.safe_load(open('specs/planning-context.yaml'))
written = d.get('written_at','')
if written:
 age = (datetime.datetime.now(datetime.timezone.utc) - datetime.datetime.fromisoformat(written)).total_seconds() / 3600
 print(f'Context age: {age:.1f}h')
" 2>/dev/null || echo "No context or no written_at"
  • If context is < 24h old, ask: "Planning context from Xh ago exists for '<feature_name>'. Re-run elaborate-spec? [y/N]". Skip elaborate-spec on N.
  • If context is ≥ 24h old or absent, run elaborate-spec normally.
  • On planning cycle completion (all required keys done), clear the capsule: delete specs/planning-context.yaml and set planning-status.yaml context_capsule: null.

Read the full file on GitHub · 102 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 · 102 lines · 68 tokens per session scan A 35a039ee8045

Subscribe to this mod's changes

run-planning is a skill published in the GitHub repository danielvm-git/bigpowers (156 stars, last pushed 25d ago), licensed MIT. It adds 68 tokens to every session and 1,141 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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