AgentSkillsCN

Project Development

项目开发

SKILL.md

Project Development Methodology

Identify tasks suited to LLM processing, design pipelines, and iterate with agent-assisted development.

Prerequisites

  • •Understanding of LLM capabilities
  • •Familiarity with batch processing

Instructions

Task-Model Fit

LLM-suited tasks:

  • •Synthesis across sources
  • •Subjective judgment with rubrics
  • •Natural language output
  • •Error tolerance acceptable
  • •Batch processing (no conversational state)

LLM-unsuited tasks:

  • •Precise computation
  • •Real-time requirements
  • •Perfect accuracy required
  • •Sequential dependencies
  • •Deterministic output needed

Manual Prototype First

Before building automation:

  1. •Copy one representative input into model
  2. •Evaluate output quality
  3. •Identify failure modes
  4. •Estimate tokens per item

If manual prototype fails, automated system will fail.

Pipeline Architecture

code
acquire → prepare → process → parse → render
  • •acquire: Fetch raw data
  • •prepare: Transform to prompt format
  • •process: LLM calls (expensive, non-deterministic)
  • •parse: Extract structured data
  • •render: Generate final outputs

File System as State Machine

code
data/{id}/
├── raw.json      # acquire complete
├── prompt.md     # prepare complete
├── response.md   # process complete
├── parsed.json   # parse complete

Check file existence to determine processing state.

Architectural Reduction

Start minimal. Vercel's d0 agent: 17 tools → 2 tools (bash + SQL), 80% → 100% success rate.

When reduction works:

  • •Data layer is well-documented
  • •Model has sufficient reasoning
  • •Specialized tools were constraining

Guidelines

  1. •Validate task-model fit with manual prototype
  2. •Structure pipelines as discrete, idempotent stages
  3. •Use file system for state management
  4. •Design prompts for parseable outputs
  5. •Start minimal; add complexity only when proven necessary
  6. •Estimate costs early and track throughout

Notes

  • •Karpathy's HN Capsule: 930 items, $58 cost, 1 hour
  • •Expect multiple architectural iterations
  • •Test whether scaffolding helps or constrains model

Source: muratcankoylan/Agent-Skills-for-Context-Engineering