Power Coding

Mindful-coding OS for any LLM coding agent — faster, quality, scalable output. One invoke configures seven layers (0–6): (0) BRIEF — optional one-page PRD.md (skipped if design.MD/README already covers it, or on request), plus git init, gitignore, and a day-one security baseline; (1) HARNESSING — Handoff.MD (user-picked sections, one magic phrase chains sessions, updated on concrete events — before every commit / end of every phase — with a line/item compaction cap and a last-synced sha for concurrent-session reconcile) + auto Learning.MD for bugs and flow changes; (2) LOOP ENGINEERING — Loop.

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add APareek89/power-coding --skill power-coding
Manual install
git clone --depth 1 https://github.com/APareek89/power-coding.git /tmp/power-coding
mkdir -p ~/.claude/skills
cp -r /tmp/power-coding/. ~/.claude/skills/power-coding

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Power Coding

Seven layers (0–6) that make an AI-assisted project fast, debuggable, and resumable — for any
coding agent (Claude Code, Codex, Gemini CLI…), because everything lives in plain
markdown files the agent re-reads every session. Together they implement **the Five
Forces of Mindful Coding**: *Alignment* counters ambiguity (brief, architecture
sign-off, decisions, scope brake), *Memory* counters amnesia (Handoff, Learning,
checkpoints), *the Loop* counters drift (evals → tests), *Sight* counters opacity
(diagrams, Pulse), *Foresight* counters entropy (FMEA, Sentinel, security baseline).

**How anything here happens "automatically":** agents only reliably re-read two things —
the platform's instructions file and files those instructions point to. So setup writes
one pointer block into the instructions file (`CLAUDE.md`, `AGENTS.md`, or `GEMINI.md`;
create `AGENTS.md` if none exists), and every automatic behavior below is an instruction
stored in `Handoff.MD` / `Learning.MD` / `Loop.MD` that the pointer forces back into
context. No daemon, no hook required — redundancy of written instructions is the
mechanism.

Asking questions: use the platform's structured-question tool if one exists, otherwise
ask in plain text. If the run is non-interactive, choose sensible defaults and mark them
`⚠️ unconfirmed` for the user to review.

---

## FIRST INVOKE — configure the project (this exact order)
Read the full skill on GitHub

Details

Skill name
power-coding
License
MIT
Repo updated
25 July 2026

FAQ

What does the Power Coding skill do?

Mindful-coding OS for any LLM coding agent — faster, quality, scalable output. One invoke configures seven layers (0–6): (0) BRIEF — optional one-page PRD.md (skipped if design.MD/README already covers it, or on request), plus git init, gitignore, and a day-one security baseline; (1) HARNESSING — Handoff.MD (user-picked sections, one magic phrase chains sessions, updated on concrete events — before every commit / end of every phase — with a line/item compaction cap and a last-synced sha for concurrent-session reconcile) + auto Learning.MD for bugs and flow changes; (2) LOOP ENGINEERING — Loop.

How do I install the Power Coding skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add APareek89/power-coding --skill power-coding. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Power Coding popular?

It lives in APareek89/power-coding, which has 6 GitHub stars and 0 forks.

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