zhoujie
4cde2f7c67
- 新增图片生成参数自动保存【quality_mode、sd_steps、sd_cfg_scale、sd_negative_prompt】 - 新增自动运营调度参数自动保存【sched_comment_on、sched_like_on、sched_fav_on、sched_reply_on、sched_publish_on】 - 新增智能学习参数自动保存【learn_interval】 - 新增内容排期参数自动保存【queue_gen_count】 - 优化人设切换逻辑，同时保存到配置并更新队列主题池 - 新增页面加载时自动恢复全局设置功能 📝 docs(config): 更新配置管理文档 - 在config_manager.py中新增默认配置项 - 在main.py中实现启动时自动加载全局设置 - 更新配置保存测试脚本_test_config_save.py 📦 build(ui): 优化用户界面交互 - 图片生成参数变更时自动保存到配置 - 自动运营参数变更时自动保存到配置 - 智能学习参数变更时自动保存到配置 - 内容排期参数变更时自动保存到配置 - 修复人设切换时队列主题池未更新的问题 🐛 fix(queue): 修复发布队列图片显示问题 - 在publish_queue.py中新增图片预览功能 - 支持将图片转换为base64编码嵌入markdown显示 - 显示图片文件大小和状态信息
119 lines
4.9 KiB
Markdown
119 lines
4.9 KiB
Markdown
---
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name: openspec-continue-change
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description: Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.
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license: MIT
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compatibility: Requires openspec CLI.
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metadata:
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author: openspec
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version: "1.0"
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generatedBy: "1.1.1"
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---
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Continue working on a change by creating the next artifact.
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**Input**: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.
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**Steps**
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1. **If no change name provided, prompt for selection**
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Run `openspec list --json` to get available changes sorted by most recently modified. Then use the **AskUserQuestion tool** to let the user select which change to work on.
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Present the top 3-4 most recently modified changes as options, showing:
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- Change name
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- Schema (from `schema` field if present, otherwise "spec-driven")
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- Status (e.g., "0/5 tasks", "complete", "no tasks")
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- How recently it was modified (from `lastModified` field)
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Mark the most recently modified change as "(Recommended)" since it's likely what the user wants to continue.
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**IMPORTANT**: Do NOT guess or auto-select a change. Always let the user choose.
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2. **Check current status**
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```bash
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openspec status --change "<name>" --json
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```
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Parse the JSON to understand current state. The response includes:
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- `schemaName`: The workflow schema being used (e.g., "spec-driven")
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- `artifacts`: Array of artifacts with their status ("done", "ready", "blocked")
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- `isComplete`: Boolean indicating if all artifacts are complete
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3. **Act based on status**:
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---
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**If all artifacts are complete (`isComplete: true`)**:
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- Congratulate the user
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- Show final status including the schema used
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- Suggest: "All artifacts created! You can now implement this change or archive it."
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- STOP
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---
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**If artifacts are ready to create** (status shows artifacts with `status: "ready"`):
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- Pick the FIRST artifact with `status: "ready"` from the status output
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- Get its instructions:
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```bash
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openspec instructions <artifact-id> --change "<name>" --json
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```
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- Parse the JSON. The key fields are:
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- `context`: Project background (constraints for you - do NOT include in output)
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- `rules`: Artifact-specific rules (constraints for you - do NOT include in output)
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- `template`: The structure to use for your output file
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- `instruction`: Schema-specific guidance
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- `outputPath`: Where to write the artifact
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- `dependencies`: Completed artifacts to read for context
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- **Create the artifact file**:
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- Read any completed dependency files for context
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- Use `template` as the structure - fill in its sections
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- Apply `context` and `rules` as constraints when writing - but do NOT copy them into the file
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- Write to the output path specified in instructions
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- Show what was created and what's now unlocked
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- STOP after creating ONE artifact
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---
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**If no artifacts are ready (all blocked)**:
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- This shouldn't happen with a valid schema
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- Show status and suggest checking for issues
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4. **After creating an artifact, show progress**
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```bash
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openspec status --change "<name>"
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```
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**Output**
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After each invocation, show:
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- Which artifact was created
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- Schema workflow being used
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- Current progress (N/M complete)
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- What artifacts are now unlocked
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- Prompt: "Want to continue? Just ask me to continue or tell me what to do next."
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**Artifact Creation Guidelines**
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The artifact types and their purpose depend on the schema. Use the `instruction` field from the instructions output to understand what to create.
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Common artifact patterns:
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**spec-driven schema** (proposal → specs → design → tasks):
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- **proposal.md**: Ask user about the change if not clear. Fill in Why, What Changes, Capabilities, Impact.
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- The Capabilities section is critical - each capability listed will need a spec file.
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- **specs/<capability>/spec.md**: Create one spec per capability listed in the proposal's Capabilities section (use the capability name, not the change name).
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- **design.md**: Document technical decisions, architecture, and implementation approach.
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- **tasks.md**: Break down implementation into checkboxed tasks.
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For other schemas, follow the `instruction` field from the CLI output.
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**Guardrails**
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- Create ONE artifact per invocation
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- Always read dependency artifacts before creating a new one
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- Never skip artifacts or create out of order
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- If context is unclear, ask the user before creating
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- Verify the artifact file exists after writing before marking progress
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- Use the schema's artifact sequence, don't assume specific artifact names
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- **IMPORTANT**: `context` and `rules` are constraints for YOU, not content for the file
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- Do NOT copy `<context>`, `<rules>`, `<project_context>` blocks into the artifact
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- These guide what you write, but should never appear in the output
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