基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/benbrastmckie/nvim --skill skill-meeting命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Orchestrate multi-agent implementation with parallel phase execution. Spawns teammates for independent phases and coordinates dependent phases. Includes debugger teammate for error recovery.
Implement CSLib proofs with hard-mode contracts (H2 anti-analysis, H7 territory, H9 wrap-up with sorry_inventory). Invoke for --hard cslib implementation tasks.
Research CSLib formalization patterns with hard-mode contracts (H2 anti-analysis, H3 reference grounding with BibKey verification, H4 adversarial verification). Invoke for --hard cslib research tasks.
| name | skill-meeting |
| description | Investor meeting note processing and CSV tracking |
| allowed-tools | Agent, Bash, Edit, Read, Write |
Thin wrapper that routes investor meeting note processing requests to the meeting-agent.
IMPORTANT: This skill implements the skill-internal postflight pattern. After the subagent returns, this skill handles all postflight operations (status update, artifact linking, git commit) before returning.
Reference (do not load eagerly):
.claude/context/formats/subagent-return.mdNote: This skill is a thin wrapper. Context is loaded by the delegated agent, not this skill.
This skill activates when:
/meeting command with task number/research on a founder task with task_type: "meeting"When an implementing agent encounters any of these patterns:
Plan step language patterns:
Target mentions:
Do not invoke for:
Validate required inputs:
task_number - Must be provided and exist in state.jsonnotes_path - Optional, file path to meeting notes or structured meeting fileupdate_only - Optional, boolean (default: false)# Lookup task
task_data=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num)' \
specs/state.json)
# Validate exists
if [ -z "$task_data" ]; then
return error "Task $task_number not found"
fi
# Extract fields
task_type=$(echo "$task_data" | jq -r '.task_type // "founder"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')
# Extract notes_path from task metadata (stored at task creation)
stored_notes_path=$(echo "$task_data" | jq -r '.notes_path // null')
# Use provided notes_path or fall back to stored one
notes_path="${notes_path:-$stored_notes_path}"
if [ -z "$notes_path" ] || [ "$notes_path" = "null" ]; then
return error "No notes_path found. Provide a file path or ensure task has notes_path stored."
fi
# Validate file exists
if [ ! -f "$notes_path" ]; then
return error "File not found: $notes_path"
fi
Source skill-base.sh once, then follow @.claude/context/patterns/skill-preflight-flow.md in
full for Stage 2 (preflight status update) and Stage 3 (marker creation):
source .claude/scripts/skill-base.sh
padded_num=$(printf "%03d" "$task_number")
skill_name="skill-meeting"
operation="research"
{
"task_context": {
"task_number": N,
"project_name": "{project_name}",
"description": "{description}",
"task_type": "founder",
"task_type": "meeting"
},
"notes_path": "/absolute/path/to/meeting-notes.md",
"update_only": false,
"metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json",
"metadata": {
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "meeting", "skill-meeting"]
}
}
CRITICAL: You MUST use the Agent tool to spawn the agent.
Required Tool Invocation:
Tool: Agent (NOT Skill, NOT Plan)
Parameters:
- subagent_type: "meeting-agent"
- prompt: [Include task_context, notes_path, update_only, metadata_file_path, metadata]
- description: "Investor meeting note processing"
The agent will:
notes_pathCRITICAL: If you performed the work above WITHOUT using the Agent tool (i.e., you read files,
wrote artifacts, or updated metadata directly instead of spawning a subagent), you MUST write a
.return-meta.json file now before proceeding to postflight. Use the schema from
return-metadata-file.md with the appropriate status value for this operation.
If you DID use the Agent tool, skip this stage -- the subagent already wrote the metadata.
The following stages MUST execute after work is complete, whether the work was done by a subagent or inline (Stage 5b). Do NOT skip these stages for any reason.
padded_num=$(printf "%03d" "$task_number")
metadata_file="specs/${padded_num}_${project_name}/.return-meta.json"
if [ -f "$metadata_file" ] && jq empty "$metadata_file" 2>/dev/null; then
status=$(jq -r '.status' "$metadata_file")
artifact_path=$(jq -r '.artifacts[0].path // ""' "$metadata_file")
artifact_type=$(jq -r '.artifacts[0].type // ""' "$metadata_file")
artifact_summary=$(jq -r '.artifacts[0].summary // ""' "$metadata_file")
else
status="failed"
fi
If status is "researched", update state.json and TODO.md.
Update state.json:
bash .claude/scripts/state-write.sh \
'(.active_projects[] | select(.project_number == $num)) |= . + {
status: $status,
last_updated: $ts
}' \
--session-id "$session_id" \
--argjson num "$task_number" --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg status "researched"
Update TODO.md: Use Edit tool to change status marker to [RESEARCHED].
Add artifact to state.json with summary.
IMPORTANT: Use two-step jq pattern to avoid escaping issues.
if [ -n "$artifact_path" ]; then
# Step 1: Filter out existing research artifacts (use "| not" pattern)
bash .claude/scripts/state-write.sh \
'(.active_projects[] | select(.project_number == $num)).artifacts =
[(.active_projects[] | select(.project_number == $num)).artifacts // [] | .[] | select(.type == "research" | not)]' \
--session-id "$session_id" \
--argjson num "$task_number"
# Step 2: Add new research artifact
bash .claude/scripts/state-write.sh \
'(.active_projects[] | select(.project_number == $num)).artifacts += [{"path": $path, "type": $type, "summary": $summary}]' \
--session-id "$session_id" \
--argjson num "$task_number" --arg path "$artifact_path" --arg type "$artifact_type" --arg summary "$artifact_summary"
fi
Update TODO.md: Link artifact using count-aware format.
Apply the four-case Edit logic from @.claude/context/patterns/artifact-linking-todo.md
with field_name=**Research**, next_field=**Plan**.
Apply the research scope from .claude/context/standards/git-staging-scope.md — targeted
staging, never a repo-wide add:
git add \
"specs/${padded_num}_${project_name}/reports/" \
"specs/${padded_num}_${project_name}/.return-meta.json" \
"specs/TODO.md" \
"specs/state.json"
git commit -m "task ${task_number}: complete research
Session: ${session_id}
Follow @.claude/context/patterns/skill-postflight-flow.md's Stage 9 (cleanup):
skill_cleanup "$padded_num" "$project_name"
Meeting notes processed for task {N}:
- Investor: {investor_name}
- Meeting date: {meeting_date}
- Meeting file: {output_path}
- Action items: {count}
- CSV tracker: {updated|created|skipped}
- Update-only mode: {yes|no}
- Research report: {artifact_path}
- Status updated to [RESEARCHED]
- Changes committed
- Next: Review meeting file for accuracy
After the agent returns -- whether with status researched, partial, or failed -- this skill MUST proceed immediately to postflight (Stage 6). The skill MUST NOT:
PROHIBITION: If the subagent returned partial or failed status, the lead skill MUST NOT attempt to continue, complete, or "fill in" the subagent's work. Report the partial/failed status and let the user re-run
/researchto resume.
The postflight phase is LIMITED TO:
update-task-status.sh for status updates (state.json + TODO.md)Reference: @.claude/context/standards/postflight-tool-restrictions.md
Brief text summary (NOT JSON).
Return immediately if task not found or notes_path missing.
Return error if notes_path does not exist on disk.
Keep status as "researching" for resume.
Return partial status with progress made.
Non-blocking: Log failure but continue.