claudify

Agentic AI lifecycle: create + improve + persist. create - convert functionality into Claude Code automation (agent/skill/rule/hook/command) [SKILL.md], background-polling - mandat…

es6kr

@drumrobot

What This Skill Does

Guides users through converting functionality into Claude Code automation types (Agent, Skill, Rule, Command, or Hook) using a decision matrix and step-by-step workflow. Includes output-size routing to prevent context bloat by dispatching large operations to subagents or scripts.

Replaces manual trial-and-error when deciding which automation type to create and how to avoid parent context overload during skill creation.

When to Use It

  • Convert a repetitive manual workflow into a reusable Claude Code agent
  • Decide whether to create a Skill, Rule, Command, or Hook for a given task
  • Dispatch large resource reads or transcript scans to subagents to preserve context budget
  • Create a new agent file with correct YAML metadata and trigger keywords
  • Self-improve an existing automation by reviewing patterns and retrospectives
  • Persist knowledge by saving documentation and memory snapshots

Install

$ openclaw skills install @drumrobot/claudify

Claudify

Guide users to convert functionality into the appropriate Claude Code automation type (Agent, Skill, Rule, Command, or Hook).

Topic Dispatch

When this skill is invoked with a topic specifier (e.g., Skill("claudify", "improve") or /claudify improve), load and follow ONLY the matching topic file below — do NOT default to the creation-wizard body (Decision Matrix / Workflow) in this SKILL.md. A bare invocation (no topic, agentify, or create) uses the creation workflow below.

Topic argFilePurpose
create / agentify / (none)this SKILL.md (below)Convert functionality into an automation (Agent/Skill/Rule/Command/Hook)
improveimprove.mdSelf-improving loop: retrospect + hook/skill review + pattern detect
persistpersist.mdKnowledge persistence: documentation + memory save
background-pollingbackground-polling.mdScheduleWakeup/timeout polling discipline for 5min+ background dispatches

For improve / persist / background-polling, Read that topic file and follow it — the Decision Matrix and creation Workflow below apply only to the create/agentify/(none) creation path. For any other/unrecognized topic arg, fall back to the create/agentify/(none) creation workflow below rather than assuming a matching topic file exists.

Decision Matrix

TypeWhen to useImplementation
AgentHigh autonomy, multi-tool.claude/agents/name.md
SkillDomain expertise, logic.claude/skills/name/SKILL.md
RuleConstraints, styling.claude/rules/name.md
Slash CommandUser types /cmdSimple prompt templates
HookEvents (tool use, etc)Automation on actions

Full comparison: automation-decision-guide.md

Workflow

Step 0: Output-size routing (HARD STOP — before Step 1)

Before any large-output operation, decide: inline vs subagent vs script. Parent context bloat from claudify itself reduces the budget available for the actual automation creation work.

Routing decision matrix

OperationInline OK?Dispatch to subagent?Script?
Read 1 resource file (template/guide)✅ Inline
Read 2+ large resource files (>200 lines each)✅ general-purpose subagent
Scan transcript for automation patterns (no target)✅ Explore or general-purpose
Enumerate ~/.claude/plugins/marketplaces/*/plugins/*/find / ls 1-liner
Create single agent/rule/command file (inputs known)✅ Inline
Create multi-topic skill (writer + multiple topic files)✅ skill-writer subagent
Marketplace remote search (WebFetch + parsing)✅ general-purpose subagent

Don't / Do table

#Don'tDo
1Read resources/agent-templates.md (358 lines) + automation-decision-guide.md + askuserquestion-patterns.md inline before creating one agentDispatch general-purpose subagent: "Read these 3 templates and create agent at <path> with name=X, tools=Y, description=Z. Return the created file path only."
2Inline scan transcript for candidates by Read-ing the full session JSONLDispatch Explore subagent: "Find verbose tool-output patterns (>500 tokens repeated 2+ times) in conversation. Return candidate list (label + 1-line description) under 200 words."
3Inline Glob + Read all marketplace plugin SKILL.md filesBash 1-liner: find ~/.claude/plugins/marketplaces/*/plugins/*/ -name SKILL.md -exec head -3 {} \; returns names without body
4"Just one more Read" cumulative inline readingQuantify: if next operation expected to add >2K tokens to parent context AND result is not the deliverable itself, dispatch subagent
5Dispatch subagent with vague prompt ("create the agent")Subagent prompt must include: target file path, name, tools, model, description (single-line YAML), trigger keywords. Return only the file path

Self-check (before each Read/Glob/WebFetch in claudify workflow)

  1. Is the read result the deliverable, or intermediate context that the subagent's parent doesn't need?
  2. Will this Read + subsequent Reads cumulatively add >2K tokens to parent context?
  3. Is the operation parallelizable (multiple Reads, multiple files)?
  4. If 1=intermediate OR 2=yes OR 3=yes → dispatch subagent

Subagent return contract: subagent returns only the deliverable path(s). No template dump, no intermediate analysis, no confirmation text.

Step 1: Identify Candidates

If no target specified ("agentify" alone):

  • Review conversation for automation candidates
  • Look for: verbose outputs, multi-step workflows, repeated patterns
  • MUST use multiSelect: true when presenting candidates (users often want multiple)

If target specified:

  1. Check local marketplaces first:
    • ~/.claude/plugins/marketplaces/*/plugins/*/
    • Use /skill-dedup command to find overlaps
  2. If not found locally, search remote: WebFetch https://claudemarketplaces.com/?search=[keyword]
  3. If found, recommend existing or extend. If not, proceed to create

Step 1 Guards (HARD STOP):

  • No immediate-execution options: AskUserQuestion options must all be automation types (Skill/Agent/Rule/Hook/Command). "Just execute now" or "Execute without automation" options are forbidden — claudify's purpose is creating/extending automation, not executing the underlying task.
  • Scope check when extending existing skills: Before proposing to extend a global skill (~/.claude/skills/), verify the change is project-agnostic. Project-specific variables, hostnames, or environment values must NOT be added to global skills. If the automation is project-specific, recommend a project-level skill (.claude/skills/) or a project rule (.claude/rules/) instead.

Step 1.5: Merge logic / Grouping / AskUserQuestion

When duplicate or similar automation candidates are found, confirm grouping and merge options with the user using AskUserQuestion.

Grouping criteria:

  • Similarity in model or functionality
  • Contextual similarity
  • Keyword grouping (e.g., "openclaw management")

Merge criteria:

ConditionRecommendation
3+ similar topicsmulti-topic Skill
Different triggers + same skillGeneral Agent
Simple instructions + Bash scriptSkill (Agent with skill)
Complex multi-step + multiple toolsAgent

AskUserQuestion (merge options): "Candidates found. How should I structure them?" options:

  • "Merge related topics into one multi-topic skill (e.g., openclaw: exec/gateway/test)"
  • "Create separate agents for each functionality"
  • "Skill + Agent combination (instruction=skill, implementation=agent)"

PROHIBITED: Do not create separate agents without merging candidates into a logical structure if they are related.

Step 2: Gather Requirements

Use AskUserQuestion to clarify:

  • Triggers: Commands or conditions that activate the automation
  • Tools: Required tools or skills
  • Scope: Global (~/.claude/) / Project (.claude/)
  • Language: code comments, variable names, documentation

Question patterns: askuserquestion-patterns.md

Step 3: Recommend Type

Use the automation-decision-guide.md to recommend the best type.

Step 4: Create

CRITICAL: Follow the creation method for each type. Apply Step 0 routing first — multi-template Reads or transcript scans dispatch to subagent.

Skill with scripts (If scripts are required, use skill directory structure):

skill-name/
├── SKILL.md          # frontmatter + documentation + node scripts/xxx.js (mode)
├── topic-a.md        # topic file
├── topic-b.md        # topic file
└── scripts/
    └── xxx.js        # actual logic (temp location, permanent storage)
  • Do not create tmp_*.js in current directory; move to scripts/
  • Call in SKILL.md: node <skill-dir>/scripts/xxx.js <mode>
  • Use relative path from __dirname in scripts
  • Separate implementation logic and topic files

Skill (no scripts): MUST use skill-writer (do NOT create directly)

Skill tool: skill: "project-automation:skill-writer"

Agent: Create in ~/.claude/agents/ or .claude/agents/

Rules: Create in ~/.claude/rules/ or .claude/rules/

Slash Command: Create in ~/.claude/commands/ or .claude/commands/

Hook: Add to settings.json

Plugin (open source):

Step 5: Validate

  1. Register or copy to target location
  2. Reload Claude Code:
    1. Manual sync to cache, OR
    2. New session to reload

No auto-sync hook currently exists — verified 2026-08-18: no plugin-cache-sync.sh is registered in settings.json/settings.local.json, and no live copy of the script exists outside a Syncthing version-history backup. A marketplace checkout's installPath in ~/.claude/plugins/installed_plugins.json can point at a cache directory that either does not exist on disk (harness apparently falls back to reading the marketplace source directly in that case) or exists but has drifted stale relative to the marketplace checkout — see hook-kit/audit.md Step 3-D for the detection procedure. Until that gap is closed, manually verify (diff the marketplace source against the cache installPath) after editing any plugin's hook scripts, rather than assuming this auto-sync exists.

Output Guidelines

Keep responses concise:

  1. List identified candidates (with multiSelect)
  2. Summarize the recommended structure (Merge logic)
  3. Provide the creation plan
ContextmultiSelect
Automation candidatestrue (users often want multiple)
Merge options (Complexity)false (merge vs separation - mutually exclusive)
Type selectionfalse (mutually exclusive)
Scope selectionfalse (one location)
Feature selectiontrue (additive choices)

Success Case

Scenario (2026-03-09):

  • Found 3 openclaw-related functions
  • Proposed 3 options for merging
  • Result: Implementation success, user satisfied

Key factors:

  1. Identification of 3 functions
  2. "Merge?" AskUserQuestion
  3. merging skills using skill-writer (multi-topic)

Ralph Mode (AskUserQuestion bypass)

Detection condition: do not judge by .ralph/ presence alone. Ralph mode requires all of:

  1. .ralph/ directory exists AND
  2. Environment variable RALPH_LOOP=1 is set (Ralph autonomous loop sets this)

Even when .ralph/ exists, an interactive user session is normal mode — AskUserQuestion works as usual.

Workflow Change:

StepUser InteractionWorkflow
Step 1: Auto-detectAskUserQuestion (multiSelect)Summary info to .ralph/improvements.md
Step 1.5: Merge logic / Structure-improvements.md recording
Step 2: RequirementsAskUserQuestiontrigger/scope recommendation to improvements.md
Step 3: Type recommendationRecommend onlyimprovements.md recording
Step 4: ImplementationDirect actionPROHIBITED - Use [NEEDS_REVIEW] tag
Step 5: ValidationValidationAuto validation (after changes are complete)

Scope note (HARD STOP): this table governs the creation workflow only (new agent/skill/rule/hook). It does not extend to passive, no-ask persistence steps elsewhere in this skill's topics (improve/persist RAG session/discovery-chunk store) — those follow the narrower carve-out in persist.md's own "Ralph Mode" section, not this table. Do not generalize "Ralph Mode = record-only, nothing runs" from this table alone.

improvements.md recording example

## Agentify Candidate (Implementation)

### [Candidate Name]
- **Context**: [Why it was found]
- **Recommended Type**: [Skill/Agent/Hook/Slash Command]
- **Recommended Structure**: [Topics]
- **Rationale**: [Why it's recommended]
- **Tag**: [NEEDS_REVIEW]

Self-Improvement

After changes are complete, Self-improve based on conversation:

  1. Identify failure and workaround patterns

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