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Config management

Skill Amey-Thakur/AI-SKILLS/skills/devops/config-management

Plug-and-play skills and prompts for every AI coding agent

Install
npx -y skills add Amey-Thakur/AI-SKILLS --skill config-management

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  • 21 days oldThe repository was created 21 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Separate config from code and secrets, keep environments at parity, and change config safely. Use when wiring application configuration for deployment or fixing environment-specific bugs and config drift.

SKILL.md

3.4 KB, 747 tokens by cl100k_base, as published. Nobody here has run it

Config management

Config is what varies between environments; code and secrets are not config. Keeping those three separate, and changing config as deliberately as code, is what stops "works in staging" bugs and 2am misconfigurations.

Method

  1. Draw the three-way line. Code (same everywhere, in the immutable artifact: see artifact-versioning), config (varies per environment: URLs, limits, feature toggles, scaling), secrets (varies and must never be plaintext in git: see secrets-management). Config baked into the artifact forces a rebuild per environment (the drift anti-pattern); secrets in config files are a breach waiting for the wrong repo clone.
  2. Inject config at deploy, from a versioned source. Environment variables, mounted config, or a config service resolved at startup (see scripting-automation's environment-config for the tool-level twin); the values live in a versioned, reviewed store (a config repo, GitOps: see gitops-workflow) so every change has a diff, an author, and a revert.
  3. Validate config at startup, fail loud. Type-check and range-check config before serving (see request-validation's parse-don't-check, applied to your own config); a missing or malformed value fails the deploy or the health check (see health-checks), never surfaces as a mysterious 500 an hour later. Typed config objects beat scattered string lookups (see spring-boot-discipline, dotnet-dependency-injection for the framework versions).
  4. Keep environments at parity. The same config keys across environments with different values; a key that exists only in production is where the untested code path hides (see test-environment-parity). Generate environment configs from one template so a new key lands everywhere at once, defaulted safely.
  5. Change config with deploy-grade caution. Config changes cause outages as readily as code changes (a wrong limit, a flipped flag): review them, roll them out progressively where risky (feature flags are runtime config with the best rollout story: see feature-flags-hygiene), and mark them in monitoring so incidents correlate (see infrastructure-monitoring, rollback-strategy: config is often the fastest rollback).
  6. Document config as an interface. Each setting: what it does, valid range, default, and blast radius: where operators and the next engineer will look (see onboarding-docs). Undocumented magic numbers in config are the same debt as magic numbers in code (see magic-numbers), with production consequences.

Boundaries

  • Feature flags overlap config but add per-user targeting and lifecycle concerns (flags must be retired: see feature-flags-hygiene); do not let flags become permanent undocumented config.
  • Dynamic config (changed at runtime without deploy) is powerful and dangerous: it needs the same validation, audit, and rollback as deploys, or it becomes an ungoverned change channel (see automation-guardrails).
  • Config-as-code stops at secrets; the encrypted-or-referenced rule (see secrets-management, gitops-workflow) is the hard boundary, because a leaked config repo must not be a leaked credential set.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most project setup skills give in 747 tokens

Counted across 999 of the 1,637 authors here whose files we hold, read 2026-08-07

  • Ask one question at a timein 29 of 999, across 28 files
  • Detect the package manager from lockfilesin 28 of 999, across 9 files
  • Present findings to the userin 26 of 999, across 5 files
  • Explore current repo statein 24 of 999, across 3 files
  • Update the agent skills block in place if it existsin 24 of 999, across 3 files
  • Install husky lint-staged and prettierin 23 of 999, across 4 files
  • Create the lintstagedrc filein 22 of 999, across 3 files
  • Commit all changed filesin 22 of 999, across 3 files
  • Run lint-staged to verify it worksin 22 of 999, across 3 files
  • Create the husky pre-commit filein 21 of 999, across 2 files
  • Create a prettierrc file if missingin 21 of 999, across 2 files
  • Initialize huskyin 21 of 999, across 2 files

Said here and by no other author read

  • separate code, config, and secrets
  • inject config at deploy from a versioned store
  • maintain environment parity for config keys
  • change config with deploy-grade caution
  • document each setting and its blast radius

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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