AgentSkillsCN

discover-capabilities

分析任务描述,从本体论中识别所需能力,发现潜在缺口,并自动合成有效的流程方案。触发条件:“发现所需能力”、“我需要哪些能力?”、“分析任务”、“合成流程”。

SKILL.md
--- frontmatter
name: discover-capabilities
description: >-
  Analyze a task description to detect required capabilities from the ontology,
  identify gaps, and synthesize a valid workflow automatically.
  Trigger: "discover capabilities", "what capabilities do I need",
  "analyze task", "synthesize workflow"
argument-hint: "[task-description]"
disable-model-invocation: false
user-invocable: true
allowed-tools: Read, Grep, Bash
context: fork
agent: general-purpose
layer: REASON

Intent

Execute discover-capabilities to analyze a natural language task description and automatically:

  1. Detect which ontology capabilities are needed
  2. Identify gaps where the ontology lacks coverage
  3. Synthesize a valid workflow DAG from matched capabilities

This skill bridges the gap between "I want to do X" and "here are the specific capabilities and workflow steps needed to do X safely."

Success criteria:

  • All atomic actions in the task are identified
  • Each action maps to an ontology capability with confidence score
  • Missing capabilities are flagged with proposed extensions
  • A valid workflow is synthesized with proper safety steps
  • Evidence anchors trace the discovery reasoning

Compatible schemas:

  • schemas/capability_ontology.yaml
  • schemas/workflow_catalog.yaml

Inputs

ParameterRequiredTypeDescription
task_descriptionYesstringNatural language description of the task to analyze
domainNostringDomain context for specialization (e.g., "security", "data-pipeline")

Procedure

  1. Load ontology context: Read the capability ontology to understand available capabilities

    • Load schemas/capability_ontology.yaml via CapabilityRegistry
    • Load schemas/workflow_catalog.yaml via WorkflowEngine
    • Note: 36 atomic capabilities across 9 cognitive layers
  2. Analyze task: Decompose the task into atomic capability requirements

    • Parse the task description for action verbs and targets
    • Map each action to the closest ontology capability
    • Assign confidence scores based on semantic match quality
    • Identify domain parameters where applicable
  3. Classify matches: Validate and filter capability matches

    • Accept matches with confidence >= 0.6
    • Route low-confidence matches to gap detection
    • Identify unmatched requirements
  4. Detect gaps: For unmatched requirements

    • Find nearest existing capabilities by semantic similarity
    • If available, generate proposed new capabilities with:
      • Suggested layer, risk level, and schemas
      • Edges to related existing capabilities
      • Rationale for the proposal
  5. Synthesize workflow: Build a valid workflow from matched capabilities

    • Resolve transitive dependency chains (requires edges)
    • Insert safety steps (checkpoint before mutations, audit at end)
    • Topological sort respecting precedes edge ordering
    • Check for conflicts_with violations
    • Generate data flow bindings between steps
  6. Present results: Format and display the discovery output

    • List detected capabilities with confidence and reasoning
    • Show any gaps with proposals
    • Display synthesized workflow steps
    • Offer to validate workflow against ontology
    • Offer to scaffold gap capabilities if needed

Output Contract

Return a structured object:

yaml
capabilities:
  - id: string          # ontology capability ID
    confidence: number  # 0.0-1.0
    reasoning: string   # why this capability was matched
    domain: string      # domain parameter if applicable
gaps:
  - description: string
    proposed_capability:
      id: string
      layer: string
      risk: string
workflow:
  name: string
  steps: array          # ordered workflow steps
  confidence: number    # overall workflow confidence
confidence: number      # overall discovery confidence 0.0-1.0
evidence_anchors: array # provenance trail

Field Definitions

FieldTypeDescription
capabilitiesarrayMatched ontology capabilities with scores
gapsarrayUnmatched requirements with proposals
workflowobjectSynthesized or matched existing workflow
confidencenumberOverall confidence (0.0-1.0)
evidence_anchorsarrayDiscovery provenance trail

Examples

Example 1: Simple Analysis Task

Input:

yaml
task_description: "Find all Python files with TODO comments"

Output:

yaml
capabilities:
  - id: search
    confidence: 0.95
    reasoning: "'Find' maps to search capability for discovering items under uncertainty"
  - id: detect
    confidence: 0.85
    reasoning: "'TODO comments' requires pattern detection within found files"
    domain: pattern
gaps: []
workflow:
  name: find_python_files_with_todo
  steps:
    - capability: search
      purpose: Find Python files in the codebase
      store_as: search_out
    - capability: detect
      purpose: Detect TODO patterns in found files
      domain: pattern
      store_as: detect_out
      input_bindings:
        source: ${search_out}
  confidence: 0.9
confidence: 0.9

Example 2: Mutation Task with Safety

Input:

yaml
task_description: "Delete old log files older than 30 days"

Output:

yaml
capabilities:
  - id: search
    confidence: 0.9
    reasoning: "'log files' requires searching for matching files"
  - id: detect
    confidence: 0.8
    reasoning: "'older than 30 days' requires date-based detection"
    domain: time
  - id: checkpoint
    confidence: 1.0
    reasoning: "Auto-added: mutation requires checkpoint for safety"
  - id: mutate
    confidence: 0.95
    reasoning: "'Delete' is a persistent state mutation"
  - id: audit
    confidence: 1.0
    reasoning: "Auto-added: mutation operations require audit trail"
gaps: []
workflow:
  name: delete_old_log_files
  steps:
    - capability: search
      purpose: Find log files in the system
      store_as: search_out
    - capability: detect
      purpose: Filter files older than 30 days
      domain: time
      store_as: detect_out
    - capability: checkpoint
      purpose: Create safety checkpoint before deletion
      store_as: checkpoint_out
    - capability: mutate
      purpose: Delete the identified old log files
      store_as: mutate_out
      requires_checkpoint: true
    - capability: audit
      purpose: Record deletion actions for audit trail
      store_as: audit_out
  confidence: 0.93
confidence: 0.93

Verification

  • All action verbs in the task description are identified
  • Each capability match has confidence score and reasoning
  • Safety steps (checkpoint, audit) are automatically added for mutations
  • Workflow respects ontology edge constraints (requires, precedes, conflicts_with)
  • Binding references between steps are valid (no undefined variables)

Verification tools: Read, Grep, Bash

Safety Constraints

  • mutation: false
  • requires_checkpoint: false
  • requires_approval: false
  • risk: low

Capability-specific rules:

  • Discovery is read-only: it analyzes and proposes but never modifies the ontology
  • Gap proposals are suggestions only; they require governance review before adoption
  • Workflow synthesis validates against ontology constraints but does not execute

Composition Patterns

Commonly follows:

  • inquire - User provides task description via prompt
  • retrieve - Load ontology and workflow catalog

Commonly precedes:

  • plan - Use discovered capabilities to plan implementation
  • invoke - Execute the synthesized workflow
  • generate - Scaffold new capability files for gap proposals

Anti-patterns:

  • Do not execute synthesized workflows without human review
  • Do not add proposed capabilities to the ontology without governance
  • Do not bypass gap detection by forcing low-confidence matches

Workflow references:

  • See schemas/workflow_catalog.yaml for existing workflow patterns
  • See schemas/capability_ontology.yaml for the full ontology