ai-migration-operating-model

Run a code migration (language port, framework/SDK upgrade, service rewrite) as an operating model — rulebook + queues + reviewers + objective verification — instead of a pile of agent edits. Use when the user says "migrate this service", "port X to Y", "rewrite this in TypeScript/Go", "upgrade the framework", or wants agents to do a large rewrite. Builds the judge first (golden scenarios + a shipped parity differ), then a lintable Migration Control Pack (rulebook, dependency map, gap inventory, portability test plan, parity script, work queue, reviewer prompts, phase gates) that implementing agents execute against; includes a candidate filter that says "don't migrate yet" when behavior can't be captured. Callable as one whole workflow or via four standalone modes — economics, judge, pack, qualify — one per part of the model. Not the bulk executor of the migration itself — it sets up and verifies the machine; complements spec-first-planning and crafting-self-prompting-loops.

Jump to install

Repository: dhanesh/agent-skills
Last source activity: July 22, 2026 at 19:43
Detected SKILL.md language: English
Stars: 1
Forks: 0

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

A direct command skips the review prompt. Inspect the source before running it.

npx skills add https://github.com/dhanesh/agent-skills --skill ai-migration-operating-model

The command stays on one line. Scroll horizontally to inspect it before copying.

Prefer a local copy? Download the files currently available to SkillsMP.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer

10 files

SKILL.md

Source instructions · Read-only preview

Back to search Back to installation

feynman-walkthrough

Walk a person through a subject, codebase, whitepaper, or complex system until they genuinely understand it. Use whenever the user wants to understand or learn something: "explain X", "walk me through this repo/paper", "help me understand how Y works", "onboard me onto Z" — even if they never mention a learning method. Explains with Feynman-grade simplicity (plain language, analogy, concrete example before abstraction) and research-backed structure (big picture first, one segment at a time, checks matched to the goal), gauges understanding only AFTER the walkthrough to see where more coaching helps, and produces a standalone, sharable reference explainer — persisted as an Open Knowledge Format (OKF) bundle with source fingerprints pinned, so later sessions can review the knowledge and refresh it diff-aware when the codebase, document, or topic changes. A guided walkthrough, not a study regimen: retention tooling (spaced retrieval, self-quizzing, review schedules) exists but is strictly opt-in.

2026-07-28

crafting-self-prompting-loops

Design and build sound self-prompting loops — loops where a model iterates toward a goal across turns (draft→critique→revise, autonomous task loops, multi-agent orchestration, human-checkpointed loops). Use whenever the user wants to make a model "keep improving X until Y", build a self-refinement or reflexion loop, an autonomous agent that works toward a goal with little supervision, a loop that orchestrates or fans out to other agents, a recurring self-driven/scheduled task, or any agentic loop — even if they don't say the word "loop"; also use it to audit or fix an existing loop that runs away, never stops, oscillates, drifts off-goal, or is vulnerable to prompt injection. It produces a filled loop spec, a runnable scaffold, and bakes in the mandatory safety properties (a hard stop backstop and the trusted/untrusted two-channel boundary) that loops fail without.

2026-07-27

context-hygiene-kit

One-time SETUP that installs durable context management into a Claude Code project (or global ~/.claude): a bounded, scored, tiered cache that keeps working memory lean (anti-bloat) and rot-proof across compactions (anti-rot). Use when setting up, installing, configuring, verifying, or uninstalling context hygiene for a project or globally; when the user asks to "set up context management", "stop my context from bloating", "avoid context rot", "make Claude remember decisions across compaction", "persist working memory across sessions", or to replace a lossy local-model session-summariser with a deterministic lossless one. It drops in a stdlib-only Python ledger, a deterministic per-turn transcript harvester, and three lifecycle hooks (Stop / PreCompact / SessionStart) wired into settings.json — after install those hooks run automatically every turn, so you invoke this ONCE. Not an ongoing per-turn skill; not for ordinary app caching, RAG vector stores, or LLM prompt-caching config.

2026-07-27

View all from this repository

name	ai-migration-operating-model
description	Run a code migration (language port, framework/SDK upgrade, service rewrite) as an operating model — rulebook + queues + reviewers + objective verification — instead of a pile of agent edits. Use when the user says "migrate this service", "port X to Y", "rewrite this in TypeScript/Go", "upgrade the framework", or wants agents to do a large rewrite. Builds the judge first (golden scenarios + a shipped parity differ), then a lintable Migration Control Pack (rulebook, dependency map, gap inventory, portability test plan, parity script, work queue, reviewer prompts, phase gates) that implementing agents execute against; includes a candidate filter that says "don't migrate yet" when behavior can't be captured. Callable as one whole workflow or via four standalone modes — economics, judge, pack, qualify — one per part of the model. Not the bulk executor of the migration itself — it sets up and verifies the machine; complements spec-first-planning and crafting-self-prompting-loops.
license	MIT
compatibility	Requires python3 (stdlib only) and a POSIX-like shell; fully offline, no network.
metadata	{"author":"dhanesh","version":"1.0.0","tags":"migration,rewrite,port,parity,golden-tests,rulebook,agent-orchestration,phase-gates"}