← All skill packs

AI Agent Workflow Collection

Skill pack
13 skills0 selected
packmindhubSkills in this pack

Implement a new Packmind AI agent rendering/deployer pipeline (single-file or multi-file) with type and registry wiring, frontend UI/docs updates, and thorough unit/integration tests to reliably support additional coding assistants and distribution formats when introducing a new agent integration or render mode.

English

Create or iterate on an Example Mapping specification from various inputs (GitHub issue, Miro screenshots). Produces a structured EM spec for use with the qa-review skill.

English

Analyze Datadog error logs for Packmind production services (api-proprietary, mcp-proprietary, frontend-proprietary), group them into patterns, root-cause against the codebase, and produce a structured bug report. Triggers on Datadog, production logs, prod errors, service health, or periodic error reviews.

English

Audit and inventory all feature flags declared in the Packmind codebase. Use when the user asks to list, audit, review, or inventory feature flags, asks which flags are active, wants to know what a flag gates, or asks which flags are opened to a given domain/user. Produces a synthetic markdown table with each flag key, its audience, an inferred functional description, its active/orphan status, and its usage locations.

English

Enforce git commit best practices using gitmoji + Conventional Commits format. TRIGGER when creating commits. Ensures quality-gate passes, prevents issue auto-closing (no Close/Fix keywords), includes Co-Authored-By for AI commits, and requires user approval before committing.

English

Design, implement, and maintain applications using hexagonal architecture (ports and adapters). Use when (1) designing new systems requiring clear separation between domain logic and infrastructure, (2) refactoring monolithic or tightly-coupled codebases toward cleaner boundaries, (3) reviewing architecture for dependency rule violations or layer leakage, (4) establishing testing strategies that isolate domain logic, or (5) evaluating whether hexagonal architecture suits a given problem domain.

English

Use when updating, adding, fixing, changing, or deprecating Packmind playbook artifacts (standards, commands, skills). Triggers on explicit phrases like "update packmind standard", "add a packmind skill", "fix packmind command", "change packmind playbook", "deprecate a standard". Also triggers — even without an explicit request — whenever the conversation reveals an opportunity: a new coding convention was just agreed on, a recurring pattern emerged, a workflow changed, a rule was found outdated, or the user says things like "we always do X", "let us remember to Y", "that is the pattern we use". If there is any chance the conversation established a convention or exposed a gap, invoke this skill proactively. This skill defines a mandatory workflow: do NOT edit artifact files directly — follow all phases regardless of change size.

English

Audit deployed Packmind playbook artifacts for contradictions, duplications, and coverage gaps. Produces playbook-audit-report.md at project root. Use after bulk artifact updates, before onboarding, or on a regular cadence.

English

Audit all packmind- skills for CLI compatibility issues: deprecated commands, invalid options, wrong file formats, missing flags, and version mismatches against the locally installed Packmind CLI. Use when you want to check that skills referencing packmind-cli are up to date, after a CLI upgrade, before a release, or whenever you suspect skills may reference outdated CLI commands. Also triggers on phrases like "audit CLI usage", "check skills for CLI issues", "are my skills up to date with the CLI", or "CLI compatibility check".

English

Automate a CLI release by verifying a clean git state, optionally promoting unreleased default skills, updating package.json and CHANGELOG with a dated version, tagging and pushing, then bumping to a -next version to ensure consistent, traceable releases whenever publishing a new CLI version.

English

This skill provides guidance for using the Packmind UI component library (@packmind/ui). It should be used when building or modifying frontend UI with PM-prefixed components, working with Chakra UI in the Packmind codebase, or when questions arise about available components, theming, or layout patterns. Triggers on mentions of PM components, @packmind/ui, Chakra UI usage, design kit, or frontend component implementation.

English

Periodieke audit van het kennissysteem — los van het taakproces. Voert systeem-checks uit (CLAUDE.md, verwijzingen, drift, verouderde docs) plus brede checks die doc-review niet doet (architecture vs. codebase, ADR status, cross-task patronen).

Dutch

アプリのリリース(バージョンbump + CHANGELOG + タグ → GH Actions で自動ビルド・配布)。iOS / Android / macOS…

Japanese

Includes Adding AI Agent Rendering System, Create Em Spec, Datadog Analysis, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills13CategorygeneralStars0

What’s included

Adding AI Agent Rendering System

Implement a new Packmind AI agent rendering/deployer pipeline (single-file or multi-file) with type and registry wiring, frontend UI/docs updates, and thorough unit/integration tests to reliably support additional coding assistants and distribution formats when introducing a new agent integration or render mode.

Create Em Spec

Create or iterate on an Example Mapping specification from various inputs (GitHub issue, Miro screenshots). Produces a structured EM spec for use with the qa-review skill.

Datadog Analysis

Analyze Datadog error logs for Packmind production services (api-proprietary, mcp-proprietary, frontend-proprietary), group them into patterns, root-cause against the codebase, and produce a structured bug report. Triggers on Datadog, production logs, prod errors, service health, or periodic error reviews.

Feature Flags Audit

Audit and inventory all feature flags declared in the Packmind codebase. Use when the user asks to list, audit, review, or inventory feature flags, asks which flags are active, wants to know what a flag gates, or asks which flags are opened to a given domain/user. Produces a synthetic markdown table with each flag key, its audience, an inferred functional description, its active/orphan status, and its usage locations.

Git Commit Guidelines

Enforce git commit best practices using gitmoji + Conventional Commits format. TRIGGER when creating commits. Ensures quality-gate passes, prevents issue auto-closing (no Close/Fix keywords), includes Co-Authored-By for AI commits, and requires user approval before committing.

Hexagonal Architecture

Design, implement, and maintain applications using hexagonal architecture (ports and adapters). Use when (1) designing new systems requiring clear separation between domain logic and infrastructure, (2) refactoring monolithic or tightly-coupled codebases toward cleaner boundaries, (3) reviewing architecture for dependency rule violations or layer leakage, (4) establishing testing strategies that isolate domain logic, or (5) evaluating whether hexagonal architecture suits a given problem domain.

Packmind Update Playbook

Use when updating, adding, fixing, changing, or deprecating Packmind playbook artifacts (standards, commands, skills). Triggers on explicit phrases like "update packmind standard", "add a packmind skill", "fix packmind command", "change packmind playbook", "deprecate a standard". Also triggers — even without an explicit request — whenever the conversation reveals an opportunity: a new coding convention was just agreed on, a recurring pattern emerged, a workflow changed, a rule was found outdated, or the user says things like "we always do X", "let us remember to Y", "that is the pattern we use". If there is any chance the conversation established a convention or exposed a gap, invoke this skill proactively. This skill defines a mandatory workflow: do NOT edit artifact files directly — follow all phases regardless of change size.

Playbook Audit

Audit deployed Packmind playbook artifacts for contradictions, duplications, and coverage gaps. Produces playbook-audit-report.md at project root. Use after bulk artifact updates, before onboarding, or on a regular cadence.

Playbook CLI Audit

Audit all packmind- skills for CLI compatibility issues: deprecated commands, invalid options, wrong file formats, missing flags, and version mismatches against the locally installed Packmind CLI. Use when you want to check that skills referencing packmind-cli are up to date, after a CLI upgrade, before a release, or whenever you suspect skills may reference outdated CLI commands. Also triggers on phrases like "audit CLI usage", "check skills for CLI issues", "are my skills up to date with the CLI", or "CLI compatibility check".

Release CLI

Automate a CLI release by verifying a clean git state, optionally promoting unreleased default skills, updating package.json and CHANGELOG with a dated version, tagging and pushing, then bumping to a -next version to ensure consistent, traceable releases whenever publishing a new CLI version.

Working with Pm Design Kit

This skill provides guidance for using the Packmind UI component library (@packmind/ui). It should be used when building or modifying frontend UI with PM-prefixed components, working with Chakra UI in the Packmind codebase, or when questions arise about available components, theming, or layout patterns. Triggers on mentions of PM components, @packmind/ui, Chakra UI usage, design kit, or frontend component implementation.

Doc Audit

Periodieke audit van het kennissysteem — los van het taakproces. Voert systeem-checks uit (CLAUDE.md, verwijzingen, drift, verouderde docs) plus brede checks die doc-review niet doet (architecture vs. codebase, ADR status, cross-task patronen).

Release App

アプリのリリース(バージョンbump + CHANGELOG + タグ → GH Actions で自動ビルド・配布)。iOS / Android / macOS の任意の組み合わせでリリースできる。「リリース」「バージョン上げて」「リリースして」と言われたときに使う。

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Adding AI Agent Rendering System skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: Apache-2.0. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas