Agent skill

Ln 63 Deployment Engineer

by levnikolaevich in levnikolaevich/claude-code-skills

Prepares CI/CD and infrastructure, then executes authorized deployments with health and recovery checks.

MITAuto-check passedDevOps & Cloud

Install Ln 63 Deployment Engineer

skills CLI
$ npx skills add levnikolaevich/claude-code-skills --skill ln-63-deployment-engineer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install levnikolaevich/claude-code-skills ln-63-deployment-engineer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/levnikolaevich/claude-code-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/delivery-suite/skills/ln-63-deployment-engineer .claude/skills/ln-63-deployment-engineer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ln-63-deployment-engineer
GitHub stars
572
Token cost
~2.1k tokens
SKILL.md length
1,062 words
Files
1
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Prepares CI/CD and infrastructure, then executes authorized deployments with health and recovery checks.

  • Works in 4 steps: Establish Scope and Baseline → Prepare the Delivery Change → Execute Authorized Delivery → …
  • Tasks that involve Deployment
  • SKILL.md covers Tool Routing, Domain Rules, Checklist and Verdict, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ln 63 Deployment Engineer is an agent skill from levnikolaevich/claude-code-skills. Prepares CI/CD and infrastructure, then executes authorized deployments with health and recovery checks.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Deployment and CI/CD. The repository describes itself as: Help your AI agent finish the job: solve the right problem, keep changes focused, and show what was verified. For Claude Code and Codex. The licence is MIT.

When your agent uses it

  • Tasks that involve Deployment
  • Tasks that involve CI/CD

Example prompts

  • “Use the ln-63-deployment-engineer skill to prepare CI/CD and infrastructure, then executes authorized deployments with health and recovery checks”
  • “/ln-63-deployment-engineer”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Establish Scope and Baseline
  2. Prepare the Delivery Change
  3. Execute Authorized Delivery
  4. Reconcile the Result

What it can do on your machine

Read from SKILL.md and the folder at commit 0ce8796. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ln 63 Deployment Engineer loads about 2.1k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 1,062 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from levnikolaevich/claude-code-skills at commit 0ce8796, republished under its MIT licence (© levnikolaevich). 1,062 words, ~2,123 tokens.

Download SKILL.mdSave it as .claude/skills/ln-63-deployment-engineer/SKILL.md (or your agent's skills folder).
name
ln-63-deployment-engineer
description
Prepares CI/CD and infrastructure, then executes authorized deployments with health and recovery checks.

Deployment Engineer

Goal: Prepare and, when authorized, deploy one bounded change through the established delivery platform. Modify only approved CI/CD, IaC, configuration and deployment documentation; external actions remain limited to the named environment and authority.

Execution contract: The checklist defines completion. Track each item internally as PENDING, PROVEN with evidence, CLEARED with evidence its condition is absent, or UNPROVEN with a gap; reading, delegation, tool failure, a zero exit status, or a self-reported success is not proof; only the observed outcome is. Reconcile after each section. Before returning, resolve all PENDING, count only PROVEN and CLEARED, and apply verdict and approval rules to every gap. Preserve intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. When no one can answer during the run, state the exact question and apply the skill's verdict for the remaining gap instead of waiting or guessing. Scale depth to material risk without skipping checks. Preserve dependency and safety order; otherwise choose an appropriate verification method. Accept equivalent user or repository evidence; no other skill, named artifact, or complete lifecycle is required. Preserve source requirement and decision IDs. Bind reused evidence to relevant source versions, dirty changes, configuration, and environment; invalidate only affected claims. On continuation, reconcile task, authorization, current state, and unresolved evidence. For long work, return a compact continuation record or update an already authorized artifact; read-only skills do not persist it. Distinguish artifact readiness, verified behavior, and external-action authority. Prepare authorized work before required approval. If blocked by an instruction, cite its exact source and unresolved boundary; do not invent approval gates from caution.

Tool Routing

NeedPreferred capabilityFallback
Source and environmentRepository release/build definitions, immutable artifact identity and environment inventorySupplied verified artifacts; BLOCKED if target identity is uncertain
Provider semanticsInstalled CLI/provider version and current official documentationReviewed native plan with explicit unsupported semantics
PreparationNative build, pipeline validation, IaC plan and configuration diffNon-mutating inspection; disclose missing execution proof
Deployment and healthAuthorized provider CLI/API, rollout status, logs and probesExact operator procedure; do not report execution that was not observed

Domain Rules

  • Prepare a concrete source/artifact, environment diff, rollout, health checks, stop conditions and recovery before requesting any missing external approval. Existing unchanged authorization remains valid.
  • Identify account, region, cluster/workspace and environment before mutation. A local configuration edit or release tag does not authorize live application, data migration or resource deletion.
  • Use existing credential stores and secret references; never embed or print credentials. An IaC plan may refresh state or contact services: inspect native command semantics before calling it.
  • A failed rollout is not a successful request. Recover only within granted authority; stop retries when the same failure recurs without new evidence or safe recovery is unavailable.

Checklist

1. Establish Scope and Baseline
  • Resolve the requested outcome: preparation only or execution, target environment, allowed resources, change window and external authority.
  • Inspect repository instructions, dirty files, delivery conventions, current deployed identity and protected resources.
  • Bind the proposed deployment to a checked source revision and immutable build artifact or digest.
  • Inspect required access without disclosing secrets; distinguish unavailable access from a product defect.
2. Prepare the Delivery Change
  • Identify necessary CI/CD, IaC and configuration changes and reuse the existing platform mechanisms.
  • Scope resource creation, change and deletion explicitly; identify data, availability, cost and compatibility impacts.
  • Apply only authorized local changes and use native formatting, validation and planning commands with understood side effects.
  • Verify build provenance, configuration, secret references and environment prerequisites for the exact proposed artifact.
  • Define rollout batches, health signals, observation windows and success thresholds from requirements or current operational policy.
  • Define abort conditions and a tested or evidenced recovery path, including limits of rollback after data changes.
  • Present the concrete target, diff, artifact and recovery boundary if external approval is still required; do not execute dependent mutations before it.
Show full SKILL.md (422 more words)Show less
3. Execute Authorized Delivery
  • For preparation-only scope, clear execution obligations with evidence of that boundary and retain an executable operator plan.
  • Before an authorized apply, reconcile target identity, current drift, artifact and approval scope; regenerate affected plans after material changes.
  • Execute through native deployment mechanisms and record operation identity, resulting resources and progress.
  • Observe deployment status and user-facing smoke/health behavior for the required window; command exit success alone is insufficient.
  • On failure, stop forward rollout, preserve diagnostic evidence and perform only authorized recovery; verify the resulting state.
  • Retry only after a specific cause or prerequisite changes; stop when additional attempts cannot produce safe new evidence.
4. Reconcile the Result
  • Verify the actual deployed identity and required health evidence, or report the exact prepared-only boundary.
  • Reconcile managed configuration and documentation with actual state; preserve unrelated work and remove only run-owned temporary artifacts.
  • Report partial application, drift, recovery performed, ongoing observation gaps and any unresolved user action.

Verdict

  • PREPARED: the requested preparation is validated and execution prerequisites/limits are explicit; it does not satisfy a request that also requires deployment.
  • DEPLOYED: the authorized artifact is observed in the target environment with all required health evidence.
  • FAILED: deployment or health failed; report the actual partial/recovered state and unresolved outcome.
  • BLOCKED: essential identity, authority, verification or a safe recovery prerequisite is unavailable.

Self-Check

  • Reconcile before returning. Check item-level evidence, requirement coverage, contradictions, scope, verdict, and applicable cleanup. Correct the report or authorized artifacts. Reuse valid evidence; do not automatically rescan the repository or rerun successful commands. Repeat checks only for relevant changes, failures, or unresolved evidence. Disclose remaining gaps.

Output Contract

Report in the user's language, in this order; label all five fields and state each fact once. Use controlled plain language: one fact per sentence, usually under 20 words, active voice, and one term per concept, with no synonyms for verdicts, IDs, or states. Small results may use one line per field; omit empty tables and do not copy linked artifacts:

  1. Result: The exact skill-specific verdict token first, then the supported outcome.
  2. Scope: Reviewed/changed scope, exclusions, baseline, and material assumptions.
  3. Evidence: Skill-specific fields below; distinguish facts, inferences, and unverified claims. Link artifacts; use tables when useful.
  4. Verification: Checks/results, unavailable evidence, and applicable cleanup/external state.
  5. Completion: Checklist: X/Y complete; Incomplete: None or each UNPROVEN item's reason, outcome impact, and exact next action; residual risks and required decisions.

Skill-specific evidence: Requested mode, target/account/environment, source and artifact identity, approved diff, validation, rollout operation, health/window evidence, recovery and actual final state; separate readiness from execution.

© levnikolaevich, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/delivery-suite/skills/ln-63-deployment-engineer of levnikolaevich/claude-code-skills.

Open the folder on GitHubat commit 0ce8796

Compare with similar skills

Ln 63 Deployment Engineer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ln 63 Deployment Engineer compared with similar skills
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Prepare Cloudflare Production DeploymentLubomirGeorgiev/cloudflare-workers-nextjs-saas-template786—~5.9kAutomated safety check: NotesMIT

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Categories

Questions about Ln 63 Deployment Engineer

What does Ln 63 Deployment Engineer do?

Prepares CI/CD and infrastructure, then executes authorized deployments with health and recovery checks. Ln 63 Deployment Engineer is an agent skill from levnikolaevich/claude-code-skills. Prepares CI/CD and infrastructure, then executes authorized deployments with health and recovery checks.

When should I use Ln 63 Deployment Engineer?

Ln 63 Deployment Engineer fits situations like: tasks that involve Deployment; tasks that involve CI/CD.

How do I install Ln 63 Deployment Engineer in Claude Code?

Run `npx skills add levnikolaevich/claude-code-skills --skill ln-63-deployment-engineer -a claude-code`. Or copy the skill folder (plugins/delivery-suite/skills/ln-63-deployment-engineer in levnikolaevich/claude-code-skills) into .claude/skills/ln-63-deployment-engineer in your project. Claude Code loads it when a task matches its description.

How do I install Ln 63 Deployment Engineer in Codex?

Run `npx skills add levnikolaevich/claude-code-skills --skill ln-63-deployment-engineer -a codex`. Or copy the skill folder (plugins/delivery-suite/skills/ln-63-deployment-engineer in levnikolaevich/claude-code-skills) into .agents/skills/ln-63-deployment-engineer in your project. Codex loads it when a task matches its description.

Can I use Ln 63 Deployment Engineer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add levnikolaevich/claude-code-skills --skill ln-63-deployment-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ln-63-deployment-engineer, .gemini/skills/ln-63-deployment-engineer, .github/skills/ln-63-deployment-engineer and .opencode/skills/ln-63-deployment-engineer in your project.

What does Ln 63 Deployment Engineer need to run?

SKILL.md names no scripts, command-line tools or credentials: Ln 63 Deployment Engineer is instructions for the agent only.

Does Ln 63 Deployment Engineer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ln 63 Deployment Engineer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ln 63 Deployment Engineer use?

Ln 63 Deployment Engineer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ln 63 Deployment Engineer use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ln 63 Deployment Engineer?

Skills that share tags, products or a category with Ln 63 Deployment Engineer: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), AI News Radar (LearnPrompt/ai-news-radar, 1.8k stars), Use Vercel Action (amondnet/vercel-action, 764 stars) and CI CD And Automation (dzhalaevd/Donatello, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ln 63 Deployment Engineer?

levnikolaevich (a GitHub user) maintains it in levnikolaevich/claude-code-skills, which has 572 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 5, 2026.

Source: levnikolaevich/claude-code-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.