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workflow-tools

Work smarter with loop detection, parallel decisions, and file size analysis

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live-neon/skills
Dernière activité de la source
24 février 2026 à 19:56
Langue détectée de SKILL.md
anglais
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3
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2

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SKILL.md
Instructions source · Aperçu en lecture seule
name
workflow-tools
version
1.5.0
description
Work smarter with loop detection, parallel decisions, and file size analysis
author
Live Neon <hello@liveneon.ai>
homepage
https://github.com/live-neon/skills/tree/main/agentic/workflow-tools
repository
leegitw/workflow-tools
license
MIT
tags
["agentic","workflow","automation","orchestration","parallel","decision-making","loops","task-management"]
layer
extensions
status
active
alias
wt
metadata
{"openclaw":{"requires":{"config":"[Truncated]","workspace":"[Truncated]"}}}
# workflow-tools (工具) Unified skill for workflow utilities including open loop detection, parallel/serial decision framework, MCE file analysis, and subworkflow spawning. Consolidates 4 skills. **Trigger**: 明示呼出 (explicit invocation) **Source skills**: loop-closer, parallel-decision, MCE (minimal-context-engineering), subworkflow-spawner **Removed**: pbd-strength-classifier (redundant with `/fm classify`) ## Installation ```bash openclaw install leegitw/workflow-tools ``` **Dependencies**: - `leegitw/failure-memory` (for loop context) - `leegitw/constraint-engine` (for enforcement context) ```bash # Install with dependencies openclaw install leegitw/context-verifier openclaw install leegitw/failure-memory openclaw install leegitw/constraint-engine openclaw install leegitw/workflow-tools ``` **Standalone usage**: Loop detection, parallel decisions, and MCE analysis work independently. Full integration provides constraint-aware workflow recommendations. **Data handling**: This skill operates within your agent's trust boundary. When triggered, it uses your agent's configured model for workflow analysis and decision support. No external APIs or third-party services are called. Results are written to `output/` subdirectories in your workspace. **⚠️ File access**: This skill reads user-specified directories and files for analysis: - `/wt loops [path]` scans the specified directory (default: current working directory) - `/wt mce <file>` reads the specified file for size analysis The metadata declares only config and output paths. See Security Considerations for details. ## What This Solves Workflows accumulate friction — loops that never close, decisions about parallel vs serial execution, files that grow too large. This skill provides utilities for common workflow problems: 1. **Loop detection** — find DEFERRED, PLACEHOLDER, and TODO markers before marking work complete 2. **Parallel decisions** — 5-factor framework for when to parallelize vs serialize 3. **MCE analysis** — identify files exceeding size thresholds, suggest splits **The insight**: Small tools that do one thing well. Don't overthink the workflow — detect, decide, analyze, move on. ## Usage ``` /wt <sub-command> [arguments] ``` ## Sub-Commands | Command | CJK | Logic | Trigger | |---------|-----|-------|---------| | `/wt loops` | 循環 | scan(DEFERRED∨PLACEHOLDER∨TODO)→openloop[] | Explicit | | `/wt parallel` | 並列 | 5因子→serial∨parallel | Explicit | | `/wt mce` | 極限 | file.lines>200→split_suggestions[] | Explicit | | `/wt subworkflow` | 副流 | task→spawn(clawhub.skill) | Explicit | ## Arguments ### /wt loops | Argument | Required | Description | |----------|----------|-------------| | path | No | Directory to scan (default: current) | | --pattern | No | Custom patterns to detect (comma-separated) | | --exclude | No | Paths to exclude (comma-separated) | ### /wt parallel | Argument | Required | Description | |----------|----------|-------------| | task | Yes | Description of task to evaluate | | --factors | No | Specific factors to evaluate (default: all 5) | ### /wt mce | Argument | Required | Description | |----------|----------|-------------| | file | Yes | File to analyze | | --threshold | No | Line threshold (default: 200) | | --suggest | No | Generate split suggestions | ### /wt subworkflow | Argument | Required | Description | |----------|----------|-------------| | task | Yes | Task description | | --skill | No | Specific ClawHub skill to use | | --background | No | Run in background | ## Configuration Configuration is loaded from (in order of precedence): 1. `.openclaw/workflow-tools.yaml` (OpenClaw standard) 2. `.claude/workflow-tools.yaml` (Claude Code compatibility) 3. Defaults (built-in) ```yaml # .openclaw/workflow-tools.yaml loops: patterns: # Patterns to detect as open loops - "TODO:" - "FIXME:" - "HACK:" - "XXX:" - "DEFERRED:" - "PLACEHOLDER:" exclude: # Paths to exclude from scanning - "vendor/" - "node_modules/" mce: threshold: 200 # Line threshold for MCE compliance warning_threshold: 300 # Line threshold for warning parallel: default_factors: 5 # Number of factors to evaluate ``` ## Core Logic ### Open Loop Detection Scans for unclosed work items: | Pattern | Type | Example | |---------|------|---------| | `DEFERRED:` | Postponed work | `// DEFERRED: handle edge case` | | `PLACEHOLDER:` | Temporary code | `// PLACEHOLDER: implement auth` | | `TODO:` | Task marker | `// TODO: add error handling` | | `FIXME:` | Bug marker | `// FIXME: race condition` | | `HACK:` | Technical debt | `// HACK: workaround for bug` | | `XXX:` | Attention needed | `// XXX: review this logic` | ### Parallel vs Serial Decision Framework Five factors determine parallel suitability: | Factor | Question | Parallel If | Serial If | |--------|----------|-------------|-----------| | **Team** | Can different people work on parts? | Independent parts | Shared expertise needed | | **Coupling** | How connected are the tasks? | Loose coupling | Tight coupling | | **Interface** | Are boundaries clear? | Well-defined | Fluid/evolving | | **Pattern** | Is approach consistent? | Divergent exploration | Convergent refinement | | **Integration** | How complex is merging? | Simple merge | Complex coordination | Decision matrix: | Factors favoring parallel | Recommendation | |---------------------------|----------------| | 5/5 | Strongly parallel | | 4/5 | Parallel with coordination checkpoints | | 3/5 | Consider case-by-case | | 2/5 | Serial with parallel sub-tasks | | 0-1/5 | Serial | ### MCE (Minimal Context Engineering) File size thresholds for context efficiency: | Lines | Status | Action | |-------|--------|--------| | ≤200 | ✓ MCE compliant | No action needed | | 201-300 | ⚠ Approaching limit | Consider refactoring | | >300 | ✗ Exceeds MCE | Split recommended | Split suggestions based on: - Function/method boundaries - Logical groupings - Import dependencies - Test coverage boundaries ### Subworkflow Spawning Delegate tasks to specialized ClawHub skills: ``` Task → Skill Selection → Spawn → Monitor → Collect Results ``` Available skill categories: - `research-*`: Investigation and analysis - `generate-*`: Content generation - `validate-*`: Verification and testing - `transform-*`: Data transformation ### Example: Deployment Workflow Analysis ``` /wt parallel "Deploy new payment service to production" [PARALLEL VS SERIAL ANALYSIS] Task: "Deploy new payment service to production" Factor Analysis: 1. Team: ✗ Serial - Single SRE team handles deploys 2. Coupling: ✗ Serial - Payment depends on auth service 3. Interface: ✓ Parallel - Clear API contracts defined 4. Pattern: ✗ Serial - Requires sequential rollout (canary → staging → prod) 5. Integration: ✗ Serial - Payment gateway integration must be verified Score: 1/5 factors favor parallel Recommendation: SERIAL deployment Rationale: High-risk service requiring careful sequential verification. ``` ### Example: Infrastructure Loop Detection ``` /wt loops infra/ --pattern "MANUAL:,HARDCODED:" [OPEN LOOPS DETECTED] Scanned: ./infra Files checked: 23 Infrastructure Issues (5): infra/terraform/main.tf:45 HARDCODED: AWS region infra/k8s/deployment.yaml:78 MANUAL: replica count infra/docker/Dockerfile:12 TODO: multi-stage build infra/scripts/deploy.sh:34 FIXME: rollback not implemented infra/helm/values.yaml:56 PLACEHOLDER: production secrets Summary: 2 high, 2 medium, 1 low priority Action: Address HARDCODED and FIXME before next release. ``` ## Output ### /wt loops output ``` [OPEN LOOPS DETECTED] Scanned: ./src Files checked: 47 Open loops found (12): High Priority (FIXME, XXX): src/auth/handler.go:45 FIXME: race condition in token refresh src/api/client.go:123 XXX: review error handling Medium Priority (TODO): src/handlers/user.go:78 TODO: add input validation src/db/queries.go:234 TODO: optimize query src/utils/hash.go:12 TODO: add caching Low Priority (DEFERRED, PLACEHOLDER): src/config/loader.go:89 DEFERRED: support YAML config src/templates/email.go:34 PLACEHOLDER: email templates ... Summary: 2 high, 5 medium, 5 low priority loops Action: Address high priority loops before release. ``` ### /wt parallel output ``` [PARALLEL VS SERIAL ANALYSIS] Task: "Implement authentication and authorization" Factor Analysis: 1. Team (独立性): ✓ Parallel - Auth and authz can be assigned separately 2. Coupling (結合度): ✗ Serial - Authz depends on auth tokens 3. Interface (境界): ✓ Parallel - Clear token interface between them 4. Pattern (手法): ✓ Parallel - Both follow established patterns 5. Integration (統合): ✗ Serial - Token format must match exactly Score: 3/5 factors favor parallel Recommendation: SERIAL with parallel sub-tasks Rationale: Core dependency between auth and authz, but sub-components within each can be developed in parallel. Suggested approach: 1. Define token interface (serial, required first) 2. Implement auth + authz (parallel, once interface stable) 3. Integration testing (serial, final step) ``` ### /wt mce output ``` [MCE ANALYSIS] File: src/handlers/user.go Lines: 347 Status: ✗ EXCEEDS MCE THRESHOLD (200 lines) Complexity Analysis: Functions: 12 Avg function length: 29 lines Max function length: 67 lines (HandleUserUpdate) Import groups: 4 Split Suggestions: 1. Extract CRUD handlers (lines 45-180): → src/handlers/user_crud.go (~135 lines) - CreateUser, GetUser, UpdateUser, DeleteUser 2. Extract validation (lines 181-250): → src/handlers/user_validation.go (~70 lines) - ValidateUserInput, ValidateEmail, ValidatePassword 3. Keep orchestration (remaining): → src/handlers/user.go (~142 lines) - Handler setup, middleware, routing After split: 3 files, all ≤200 lines ✓ ``` ### /wt subworkflow output ``` [SUBWORKFLOW SPAWNED] Task: "Research competitor authentication implementations" Skill: research-web-analysis Status: Running in background Job ID: SW-20260215-001 Monitor: /wt subworkflow --status SW-20260215-001 Expected completion: ~5 minutes Results will be written to: output/subworkflows/SW-20260215-001/ ``` ## Integration - **Layer**: Extensions - **Depends on**: failure-memory (for loop context), constraint-engine (for enforcement context) - **Used by**: governance (for loop detection), review-orchestrator (for parallel decisions) ## Failure Modes | Condition | Behavior | |-----------|----------| | Invalid sub-command | List available sub-commands | | File not found | Error: "File not found: {path}" | | No patterns found | Info: "No open loops detected" | | Skill not available | Error: "Skill not found: {skill}" | ## Next Steps After invoking this skill: | Condition | Action | |-----------|--------| | Loops found | Prioritize and address high-priority loops | | Parallel recommended | Create parallel work streams | | MCE exceeded | Apply split suggestions | | Subworkflow complete | Review and integrate results | ## Workspace Files This skill reads/writes: ``` output/ ├── loops/ │ └── scan-YYYY-MM-DD.md # Loop scan results ├── parallel-decisions/ │ └── task-YYYY-MM-DD.md # Decision records ├── mce-analysis/ │ └── file-YYYY-MM-DD.md # MCE analysis results └── subworkflows/ └── SW-YYYYMMDD-XXX/ # Subworkflow outputs ├── status.json └── results.md ``` ## Security Considerations **What this skill accesses:** - Configuration files in `.openclaw/workflow-tools.yaml` and `.claude/workflow-tools.yaml` - **User-specified directories** via `/wt loops [path]` — scans for patterns (read-only) - **User-specified files** via `/wt mce <file>` — reads for size analysis (read-only) - Its own output directories (write): - `output/loops/` — loop scan results - `output/parallel-decisions/` — decision records - `output/mce-analysis/` — file analysis results - `output/subworkflows/` — subworkflow outputs
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Ce SKILL.md est tres volumineux, SkillsMP affiche donc ici seulement la premiere section. Voir sur GitHub