How do I install the Playbook Ops skill?

Run npx skillmds@latest add d-o-hub/playbook-ops in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Playbook Ops safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Playbook Ops?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Playbook Ops free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Playbook Ops?

d-o-hub (@d-o-hub) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Playbook Ops by d-o-hub — Agent Skill

Name: Playbook Ops
Author: d-o-hub

File contents

Playbook Operations

When to Use

Generating step-by-step playbooks for a new task
Getting actionable recommendations based on past success
Explaining what a pattern means in human-readable form
Understanding when/when-not to apply a strategy

CLI Commands

Command	Purpose
`do-memory-cli playbook recommend [TASK]`	Generate playbook for a task
`do-memory-cli playbook explain <PATTERN_ID>`	Explain a pattern

MCP Tools

Tool	Parameters	Purpose
`recommend_playbook`	task, domain, task_type, max_steps, language, framework, tags	Generate actionable playbook
`explain_pattern`	pattern_id	Human-readable pattern explanation
`search_patterns`	query, domain, limit	Find relevant patterns
`recommend_patterns`	task_type, domain, context	Get pattern recommendations

Generating a Playbook

# Basic recommendation
do-memory-cli playbook recommend "implement rate limiting middleware"

# With context
do-memory-cli playbook recommend "add caching layer" \
  --domain "rust-backend" \
  --task-type "code_generation" \
  --language "rust" \
  --framework "axum" \
  --max-steps 7

Playbook Output Includes

Task match score: How well the playbook fits your request
Confidence: Based on past episode success rates
Steps: Ordered actions with tool hints and expected results
Pitfalls: Known failure modes to avoid
When to apply / When NOT to apply: Applicability conditions
Expected outcome: What success looks like

Explaining Patterns

do-memory-cli playbook explain "pat-uuid-here"

Returns a natural-language explanation of:

What the pattern does
When it was discovered
Success rate and contexts where it works

Task Types

Valid --task-type values:

code_generation — Building new features
debugging — Finding and fixing bugs
refactoring — Restructuring code
testing — Writing or fixing tests
analysis — Code review and analysis
documentation — Writing docs

Integration

Playbooks work best when the memory system has episodes:

Complete episodes with outcomes and steps
System extracts patterns from successful episodes
recommend_playbook uses patterns to generate actionable steps
Feedback loop (via recommendation-feedback skill) improves recommendations

---name: playbook-opsdescription: Generate task playbooks and explain patterns using learned strategies from episodic memory---# Playbook Operations## When to Use- Generating step-by-step playbooks for a new task- Getting actionable recommendations based on past success- Explaining what a pattern means in human-readable form- Understanding when/when-not to apply a strategy## CLI Commands| Command | Purpose ||---------|---------|| `do-memory-cli playbook recommend [TASK]` | Generate playbook for a task || `do-memory-cli playbook explain <PATTERN_ID>` | Explain a pattern |## MCP Tools| Tool | Parameters | Purpose ||------|-----------|---------|| `recommend_playbook` | task, domain, task_type, max_steps, language, framework, tags | Generate actionable playbook || `explain_pattern` | pattern_id | Human-readable pattern explanation || `search_patterns` | query, domain, limit | Find relevant patterns || `recommend_patterns` | task_type, domain, context | Get pattern recommendations |## Generating a Playbook```bash# Basic recommendationdo-memory-cli playbook recommend "implement rate limiting middleware"# With contextdo-memory-cli playbook recommend "add caching layer" \ --domain "rust-backend" \ --task-type "code_generation" \ --language "rust" \ --framework "axum" \ --max-steps 7```### Playbook Output Includes- **Task match score**: How well the playbook fits your request- **Confidence**: Based on past episode success rates- **Steps**: Ordered actions with tool hints and expected results- **Pitfalls**: Known failure modes to avoid- **When to apply / When NOT to apply**: Applicability conditions- **Expected outcome**: What success looks like## Explaining Patterns```bashdo-memory-cli playbook explain "pat-uuid-here"```Returns a natural-language explanation of:- What the pattern does- When it was discovered- Success rate and contexts where it works## Task TypesValid `--task-type` values:- `code_generation` — Building new features- `debugging` — Finding and fixing bugs- `refactoring` — Restructuring code- `testing` — Writing or fixing tests- `analysis` — Code review and analysis- `documentation` — Writing docs## IntegrationPlaybooks work best when the memory system has episodes:1. Complete episodes with outcomes and steps2. System extracts patterns from successful episodes3. `recommend_playbook` uses patterns to generate actionable steps4. Feedback loop (via `recommendation-feedback` skill) improves recommendations

Frequently asked questions

Playbook Ops