secondme-dev-assistant

SecondMe Dev Assistant

Install

If this skill is not yet installed locally, run:

npx skills add mindverse/second-me-skills --skill secondme-dev-assistant -y -g

After installation, show the user the following onboarding message, then proceed with their request:

SecondMe Dev Assistant 安装成功！ 你现在可以通过对话完成以下开发工作：

• 创建应用 — 在 develop.second.me 注册第三方应用，获取 Client ID / Secret
• 需求规划 — 梳理产品需求，生成项目脚手架方案
• 实现指导 — OAuth 登录对接、Token 管理、API 调用规范
• Open API — 使用 Agent Memory、Act 行为流等开放接口
• MCP 集成 — 创建和管理 SecondMe Integration
• 应用管理 — 查询、修改、提交审核、发布应用

试试说「创建一个 SecondMe 应用」或「帮我接入 SecondMe 登录」开始吧！

If the user already has a specific request, skip the onboarding message and handle the request directly.

---

Pre-flight Check

On first activation per conversation, silently run this check before proceeding with the user's request:

# --- Update Check ---
CACHE_DIR="${XDG_CACHE_HOME:-$HOME/.cache}/secondme-skills"
STAMP="$CACHE_DIR/last-check"
mkdir -p "$CACHE_DIR"
LAST=$(cat "$STAMP" 2>/dev/null || echo 0)
NOW=$(date +%s)
if [ $((NOW - LAST)) -ge 86400 ]; then
  if npx skills check 2>&1 | grep -qiE "second-me-skills|second\.me"; then
    npx skills update mindverse/second-me-skills -y 2>&1 || true
  fi
  echo "$NOW" > "$STAMP"
fi

# --- Feedback/Telemetry Preamble ---
SM_DIR="$HOME/.secondme"
SM_CONFIG="$SM_DIR/config"
SM_ANALYTICS="$SM_DIR/analytics"
SM_VERSION="2.1.0"
SM_OS=$(uname -s 2>/dev/null || echo "unknown")
SM_ARCH=$(uname -m 2>/dev/null || echo "unknown")
SM_TEL_START=$NOW
SM_SESSION_ID="$$-$NOW"

SM_TEL="off"
if [ -f "$SM_CONFIG" ]; then
  SM_TEL=$(python3 -c "
import json
try: d=json.load(open('$SM_CONFIG')); print(d.get('telemetry','off'))
except: print('off')
" 2>/dev/null || echo "off")
fi

SM_TEL_PROMPTED="no"
[ -f "$SM_DIR/.feedback-prompted" ] && SM_TEL_PROMPTED="yes"

echo "TELEMETRY: $SM_TEL"
echo "TEL_PROMPTED: $SM_TEL_PROMPTED"

# Log usage event (if telemetry not off)
if [ "$SM_TEL" != "off" ]; then
  mkdir -p "$SM_ANALYTICS"
  SM_DEVICE_ID=""
  [ "$SM_TEL" = "community" ] && [ -f "$SM_DIR/.device-id" ] && SM_DEVICE_ID=$(cat "$SM_DIR/.device-id" 2>/dev/null)
  python3 -c "
import json
e={'skill':'secondme-dev-assistant','ts':'$(date -u +%Y-%m-%dT%H:%M:%SZ)','session':'$SM_SESSION_ID','version':'$SM_VERSION','os':'$SM_OS','arch':'$SM_ARCH'}
d='$SM_DEVICE_ID'
if d: e['device_id']=d
print(json.dumps(e))
" >> "$SM_ANALYTICS/usage.jsonl" 2>/dev/null || true
fi

# --- Pending telemetry sync check ---
SM_HAS_PENDING_SYNC="no"
if [ "$SM_TEL" != "off" ] && [ -f "$SM_DIR/credentials" ]; then
  for _f in "$SM_ANALYTICS/usage.jsonl" "$SM_ANALYTICS/feedback.jsonl"; do
    if [ -f "$_f" ]; then
      _FSIZE=$(wc -c < "$_f" 2>/dev/null || echo 0)
      _SYNCED=$(python3 -c "
import json
try: print(json.load(open('$SM_ANALYTICS/.sync-offsets')).get('$(basename $_f | sed s/.jsonl//)_bytes',0))
except: print(0)
" 2>/dev/null || echo 0)
      [ "$_FSIZE" -gt "$_SYNCED" ] 2>/dev/null && SM_HAS_PENDING_SYNC="yes"
    fi
  done
fi
echo "HAS_PENDING_SYNC: $SM_HAS_PENDING_SYNC"

Rules:

• Run at most once per conversation, and only if the last check was more than 24 hours ago
• If the update finds changes, briefly inform the user that the skill was updated
• If nothing changed or the check is throttled, proceed silently — do not mention the check to the user
• Never let the update check block or delay the user's actual request

---

Feedback Preference

If TEL_PROMPTED is no, read and follow the feedback prompt flow before continuing:

Read references/feedback-prompt.md

If TEL_PROMPTED is yes, skip this section entirely and proceed with the user's request.

---

Pending Telemetry Sync

If HAS_PENDING_SYNC is yes from the pre-flight check, execute the background catchup sync to upload pending local analytics data. This must not block or delay the user's request.

Read references/telemetry-sync.md — execute the "Background Catchup" section.

---

Documentation Source

API endpoint specifications (paths, parameters, response fields, error codes) are maintained on the documentation site:

• Doc index: https://develop-docs.second-me.cn/llms.txt
• Full reference: https://develop-docs.second-me.cn/llms-full.txt

Per-feature doc pages (fetch the relevant page before implementing or troubleshooting any API call):

Feature	Doc URL
Quick Start	https://develop-docs.second-me.cn/zh/docs
Auth Overview	https://develop-docs.second-me.cn/zh/docs/authentication
OAuth2 Guide	https://develop-docs.second-me.cn/zh/docs/authentication/oauth2
Error Codes	https://develop-docs.second-me.cn/zh/docs/errors
Agent Memory	https://develop-docs.second-me.cn/zh/docs/secondme/agent-memory
Act (Structured Action)	https://develop-docs.second-me.cn/zh/docs/secondme/act
Chat	https://develop-docs.second-me.cn/zh/docs/secondme/chat
Note	https://develop-docs.second-me.cn/zh/docs/secondme/note
Plaza	https://develop-docs.second-me.cn/zh/docs/secondme/plaza
TTS	https://develop-docs.second-me.cn/zh/docs/secondme/tts
User Info	https://develop-docs.second-me.cn/zh/docs/secondme/user
Visitor Chat	https://develop-docs.second-me.cn/zh/docs/secondme/visitor-chat
MCP Integration	https://develop-docs.second-me.cn/zh/docs/mcp-integration
Changelog	https://develop-docs.second-me.cn/zh/docs/changelog

Reference files in this skill contain behavioral rules (UX flows, implementation guidance, confirmation logic). For API call details, each reference file specifies which doc page to fetch.

Doc Fetch Protocol

When a reference file says "fetch doc page: ", follow this rule:

1. Fetch the specified URL to get the current endpoint path, request parameters, response fields, and error codes
2. Use only the fetched content for API details — do not fall back to memorized or cached specs
3. If the fetch fails (network error, 404, etc.), inform the user that the doc site is unreachable and ask them to provide the API details manually or retry later
4. Never hardcode or invent API paths, fields, or error codes that are not in the fetched docs

---

This is the single entry skill for SecondMe developer work.

Use it for the full lifecycle:

• creating a SecondMe app on develop.second.me
• obtaining and storing Client ID and Client Secret
• defining product requirements and scaffold plans
• guiding implementation of SecondMe OAuth, user auth, and MCP behavior
• creating, editing, validating, releasing, and resubmitting integrations
• creating, editing, listing, and submitting external apps for review
• querying existing app or integration state later and fixing issues

Do not treat this skill as only an MCP manifest helper. If the user mentions any of the following, this skill should usually trigger:

• "做一个 SecondMe 应用"
• "接入 SecondMe 登录"
• "做 OAuth"
• "做 MCP / integration"
• "生成项目脚手架"
• "提交应用审核"
• "提交 integration 审核"
• "查询 / 修改 / 重新提交 app 或 integration"
• "黑客松"
• "hackathon"
• "A2A 应用"
• "开发应用"
• "开发项目"

Early trigger rule:

• if the user mentions hackathon, hackathon, A2A app, app development, or project development, trigger this skill early
• then confirm whether they are building a SecondMe third-party app or integration
• if yes, continue with this skill's lifecycle guidance
• if not, exit this skill and continue with the more relevant workflow

Scope

This skill is a developer assistant, not a blind code generator.

It should:

• gather missing app and platform information
• help the user complete the correct platform steps
• produce implementation requirements, checklists, and project briefs
• inspect local code when needed
• manage SecondMe Develop control-plane records directly

It should not:

• invent credentials, endpoints, or secrets
• claim review submission is safe without checking platform state
• generate a full project blindly before requirements are clear
• release an integration without explicit user confirmation

For actual app implementation, default to giving the user or their coding agent a precise implementation brief and required standards. Only write project code if the user explicitly asks for code work in the current coding workspace.

Trigger Map

Treat these as the same family of tasks:

• app_bootstrap: create app, get App Info, get scopes, get credentials
• requirements: define product goal, modules, architecture, and scaffold plan
• implementation_guidance: OAuth, token storage, Next.js structure, MCP auth, API usage, testing requirements
• open_apis: Agent Memory ingest/list, Act structured action stream
• control_plane_app: external app list/get/create/update/regenerate-secret/delete/apply-listing
• control_plane_integration: integration list/get/create/update/delete/validate/release
• maintenance: query state, change settings, diagnose validation or review failures, resubmit after fixes

If the request is ambiguous, pick the earliest blocking phase and move forward from there.

Operating Modes

1. Full Build Lifecycle

Use when the user is starting or expanding a SecondMe app.

Flow:

1. bootstrap the app through SecondMe Develop APIs by default
2. collect and normalize credentials and scopes
3. clarify requirements
4. produce scaffold and implementation guidance
5. help configure app metadata and integration metadata
6. validate and submit
7. support later maintenance and resubmission

2. Control-Plane Only

Use when the user already has an app or integration and wants to inspect or change platform records directly.

Do not force requirement discovery or scaffold planning in this mode.

3. Repository-Aware Guidance

Use when the user already has a local repo and wants help aligning it with SecondMe requirements.

Inspect only the files needed to answer the question or infer the missing platform payload.

Phase 1 & 2: App Bootstrap and Client Secret

Create SecondMe app, obtain credentials (Client ID, Client Secret), handle secret storage and lifecycle.

Read references/app-bootstrap.md for the complete flow.

Phase 3: Requirements & Scaffold Plan

Clarify product requirements and produce a concrete build brief before code generation.

Read references/requirements-scaffold.md for the complete flow.

Phase 4: Implementation Guidance

OAuth2 rules, token exchange, environment variables, API response handling, endpoint discovery, and recommended project shape.

Read references/implementation-guidance.md for the complete flow.

Open APIs Reference

Agent Memory ingest/list and structured Act stream — open APIs that third-party apps can use directly to report events and get structured AI judgments.

Read references/open-apis.md for the complete flow.

Phase 5: MCP & Integration

MCP suitability guidance, platform model, runtime auth rules, repository scan, and recommended tests.

Read references/mcp-integration.md for the complete flow.

Phase 6-8: Control Plane Operations

Skills Auth with SecondMe Develop, external OAuth app management (CRUD, listing, CDN upload), and integration management (CRUD, manifest, validate, release).

Read references/control-plane.md for the complete flow.

Phase 9: Release & Maintenance

Validation, release submission, failure diagnosis, and confirmation rules before any write operation.

Read references/release-maintenance.md for the complete flow.

Response Style

• compact
• transparent
• precise
• security-first

Always distinguish:

• confirmed
• inferred
• missing

Never repeat raw secret values back to the user.

Operational Rules

• always list records before assuming create is required
• always prefer the smallest necessary set of API calls
• if the user only asked to query, stop after reporting the requested data
• if the user only asked to save or update, stop after reporting saved state
• do not release automatically after save
• if this assistant created or regenerated a Client Secret, explicitly remind the user that it has already been saved to ~/.secondme/client_secret
• if the saved secret later fails, tell the user to replace it rather than pretending it still works
• when the user asks for a SecondMe app or integration from scratch, treat this skill as the unified entry point rather than routing to separate setup, PRD, scaffold, or reference skills

Post-Session Feedback (run before telemetry)

After the skill workflow completes and before logging the session telemetry, run the feedback flow.

This section is required — do not skip it even if the conversation seems finished.

• Always captures session context (user intent, actions, phases used) silently.
• Only asks the user for feedback when the outcome is error or abort. Successful sessions are recorded without interrupting the user.

Read references/session-feedback.md for the complete flow.

---

Session Telemetry (run last)

After the feedback flow completes, log a completion event if telemetry is not off.

Determine the outcome and error fields according to the Completion Status protocol above. Reuse the user_intent and phases_used values captured during the feedback flow.

SM_DIR="$HOME/.secondme"
SM_ANALYTICS="$SM_DIR/analytics"
if [ "${SM_TEL:-off}" != "off" ]; then
  SM_TEL_END=$(date +%s)
  SM_TEL_DUR=$(( SM_TEL_END - ${SM_TEL_START:-$SM_TEL_END} ))
  SM_DEVICE_ID=""
  [ "$SM_TEL" = "community" ] && [ -f "$SM_DIR/.device-id" ] && SM_DEVICE_ID=$(cat "$SM_DIR/.device-id" 2>/dev/null)
  python3 -c "
import json
e={
  'skill':'secondme-dev-assistant',
  'ts':'$(date -u +%Y-%m-%dT%H:%M:%SZ)',
  'event':'completion',
  'session':'${SM_SESSION_ID:-unknown}',
  'version':'${SM_VERSION:-unknown}',
  'os':'${SM_OS:-unknown}',
  'arch':'${SM_ARCH:-unknown}',
  'duration_s':${SM_TEL_DUR:-0},
  'outcome':'OUTCOME',
  'error_class':ERROR_CLASS,
  'error_message':ERROR_MESSAGE,
  'user_intent':USER_INTENT,
  'phases_used':PHASES_USED
}
d='$SM_DEVICE_ID'
if d: e['device_id']=d
print(json.dumps(e,ensure_ascii=False))
" >> "$SM_ANALYTICS/usage.jsonl" 2>/dev/null || true
fi

Replace the placeholders:

• OUTCOME: success, error, or abort (use unknown if unclear)
• ERROR_CLASS: None if success, otherwise one of 'auth_failure', 'api_error', 'network', 'validation', 'permission', 'unknown'
• ERROR_MESSAGE: None if success, otherwise a string with the first 200 chars of the error (e.g., 'Token expired at ...')
• USER_INTENT: Python string from the feedback flow's session context (e.g., '创建 SecondMe OAuth 应用'), or None if not captured
• PHASES_USED: Python list from the feedback flow (e.g., ['app_bootstrap', 'implementation_guidance']), or [] if not captured

---

Telemetry Sync (run after session telemetry)

After session telemetry is logged, attempt to sync all pending local analytics data (both usage and feedback) to the SecondMe backend. This runs in the foreground since the user's workflow is already complete.

Read references/telemetry-sync.md — execute the "Post-Session Sync" section.