Push Out logo

Push Out

Organization
l-gevity
push-out

Moves recurring DevOps and operational work out of individual memory, manual execution, ticket queues, and team-local practice into documented procedures, repo standards, shared platforms, self-service controls, and adaptive feedback loops. Use when reducing toil, designing an improvement roadmap, deciding what to standardize or automate, assessing where operational work currently lives, pruning prose documentation duplicated by code/config/tests/policy-as-code/architecture-as-code, or asking how to move work from humans into durable systems.

Overview

Publisherl-gevity
Repositoryl-gevity-skills
Skill namepush-out
Stars
72
Forks
13
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by l-gevity on GitHub. Read the source before you install it.

Installation

Install the Push Out AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/l-gevity/l-gevity-skills/tree/main/.agents/skills/push-out
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/l-gevity/l-gevity-skills.git /tmp/l-gevity-skills
mkdir -p .claude/skills
cp -r /tmp/l-gevity-skills/.agents/skills/push-out .claude/skills/push-out
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Push Out in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Push Out on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Push Out is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Push-Out

Purpose: Move recurring operational burden outward from fragile human execution into durable system capability.

Improvement Trio

  • defect-shift-left: move defect detection earlier.
  • push-out: move recurring operational work outward.
  • bring-down: move bespoke code down into reusable capability.

Core Directives

  1. Push work, not responsibility. The owner remains accountable; the execution path moves into a more durable layer.
  2. Evidence before rank. Assign no push-out rank without observed proof.
  3. Delete before pushing. Remove unnecessary work before documenting, standardizing, automating, or platforming it.
  4. Standardize before automating. Automation over ad hoc practice industrializes confusion.
  5. Self-service needs guardrails. A platform without the guardrail set — policy, validation, permissions, audit, observability, and rollback — exports toil to users.
  6. Feedback closes the loop. Dashboards and metrics are not improvement until they trigger action.
  7. Executable sources beat prose duplicates. When code, config, tests, schemas, CI, policy-as-code, or architecture-as-code already define the operational truth, keep prose only for intent, ownership, rationale, external constraints, trade-offs, rollback notes, and links to that source.

1. Push-Out Ladder

The ladder names where recurring operational work currently lives.

RankLocationWork lives inEvidence
0Individual memoryHeroics, tribal knowledge, manual clicks"Ask Alice", no runbook, no repeatable input/output
1Team procedureRunbook, checklist, documented handoffAnother team member can repeat it manually
2Repo standardTemplate, script, CI job, policy, config conventionThe repo enforces or strongly guides the path
3Shared platformGolden path, reusable workflow, managed internal primitiveMultiple repos/teams consume the same capability
4Self-service controlGuardrailed workflow developers can run without ops handoffUsers trigger it safely; the guardrail set exists (Directive 5)
5Adaptive systemMetrics and feedback change the systemThresholds, reviews, or automation drive continuous improvement
push-out distance = target rank - current rank

Higher is not always better. Choose the target by frequency, risk, toil cost, blast radius, and number of dependent teams.


2. Target-Rank Heuristics

ConditionMinimum target
Rare, low-risk internal taskRank 1
Repeated task inside one repo/teamRank 2
Repeated task across repos/teamsRank 3
Frequent developer-facing request or ticket queueRank 4
High-volume, high-risk, regulated, or incident-prone pathRank 5

Do not push work to Rank 4 or 5 unless the lower-rank foundations exist or are created in the same change.


3. Push-Out Protocol

  1. Define scope. Name the product, repo, platform, teams, environments, and time window.
  2. Inventory recurring work. Find manual steps, tickets, approvals, incident repeats, deploy chores, dashboard checks, and hand-maintained config.
  3. Question necessity. Delete work that no longer serves a real purpose.
  4. Locate current rank. Assign rank 0-5 with evidence.
  5. Choose target rank. Justify by frequency, risk, blast radius, compliance, toil cost, and dependency count.
  6. Compute distance. Target rank - current rank.
  7. Choose the next move. Emit one action that advances exactly one rank.
  8. Gate and retire. Prove the new path works, then remove same-scope manual duplicates.

Prioritize by:

priority = push-out distance x frequency x risk x blast radius x toil cost

If many candidates compete, apply system-optimization to find the constraint before improving adjacent work.


4. Move Patterns

MoveUse whenAction
0 to 1Knowledge is tribalWrite owner, inputs, outputs, runbook, rollback
1 to 2A runbook repeatsConvert to script, template, CI job, config schema, or policy
2 to 3Many repos copy the same practiceExtract shared workflow, platform primitive, or golden path
3 to 4Platform team is still a ticket queueAdd self-service UI/API/CLI with the full guardrail set (Directive 5)
4 to 5Self-service exists but does not improveAdd SLOs, trend review, alert thresholds, incident learning, and removal loop

Documentation pruning pattern: when prose documentation repeats behavior, rules, setup, policy, or architecture that is already enforced or derivable from code, config, tests, schemas, generated output, CI, policy-as-code, or architecture-as-code, do not create a second source of truth. Verify the executable source covers the same scope, then replace the prose duplicate with the smallest useful note: why it exists, who owns it, where the executable source lives, and which external constraint or trade-off is not visible from the code.

When the move concerns deployment safety, apply ci-cd-reliability-architecture. When the move concerns check placement, apply defect-shift-left. When the move concerns duplicated custom implementation, apply bring-down. When the question is which artifact owns the fact rather than whether prose duplicates an executable source, apply zero-copy-requirements.


5. Anti-Patterns

Anti-patternCorrection
Automating an undocumented processDocument and standardize first
Platform team as ticket queuePush to guardrailed self-service
Self-service without policy or rollbackAdd the full guardrail set (Directive 5)
Dashboard called improvementDefine threshold, review cadence, and action
Tool adoption treated as maturityScore the operational outcome, not the product installed
Golden path with no adoption signalMeasure usage, escape hatches, and support load
Manual approval called governanceReplace with policy-as-code where technically possible
Keeping manual duplicate foreverRetire same-scope duplicate after proof
Prose repeats an executable source of truthKeep intent/rationale/ownership/link; delete the repeated mechanics

6. Output Contract

Emit results in this shape:

Scope:          <product/repo/platform/team/environment/time window>
Mode:           Assessment | Improvement | Roadmap
Decision:       Keep manual | Delete | Document (→1) | Standardize (→2) | Platformize (→3) | Self-service (→4) | Adaptive (→5)
Summary:        <2-4 sentences: main toil source, best next push, key risk>
Verification:   <metrics, logs, workflow search, runbook check, or Not run + reason>

Work map:
| Work item | Current rank | Target rank | Distance | Evidence | Decision | Confidence | Next action |
| --------- | ------------ | ----------- | -------- | -------- | -------- | ---------- | ----------- |

Priorities:
| Rank | Work item | Why now | Push-out move | Validation | Duplicate to retire |
| ---- | --------- | ------- | ------------- | ---------- | ------------------- |

Gaps:
<Missing evidence, unknown ownership, absent metrics, excluded work, or risks>

7. See Also

  • defect-shift-left - move defect detection earlier.
  • bring-down - move bespoke code down into reusable capability.
  • system-optimization - bottleneck and waste analysis before improvement.
  • ci-cd-reliability-architecture - pipeline safety and deployment reliability patterns.
  • zero-copy-requirements - which artifact owns a fact, before pruning the duplicate.
  • continuous-improvement - promotion of recurring findings into skills, checks, or templates.

Frequently asked questions

What does the Push Out AI skill do?

Moves recurring DevOps and operational work out of individual memory, manual execution, ticket queues, and team-local practice into documented procedures, repo standards, shared platforms, self-service controls, and adaptive feedback loops. Use when reducing toil, designing an improvement roadmap, deciding what to standardize or automate, assessing where operational work currently lives, pruning prose documentation duplicated by code/config/tests/policy-as-code/architecture-as-code, or asking how to move work from humans into durable systems.

Why use Push Out on TypingMind?

Because you install it once and use it with any model. Push Out is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Push Out in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/l-gevity/l-gevity-skills/tree/main/.agents/skills/push-out. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Push Out?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Push Out?

As many as you like. As long as a model supports skills, you can use Push Out with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Push Out AI skill free?

Yes. It is published on GitHub by l-gevity under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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