shared

boshu2/agentops · updated Apr 8, 2026

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$npx skills add https://github.com/boshu2/agentops --skill shared
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summary

This directory contains shared reference documents used by multiple skills:

skill.md

Shared References

This directory contains shared reference documents used by multiple skills:

  • validation-contract.md - Verification requirements for accepting spawned work
  • references/claude-code-latest-features.md - Claude Code feature contract (slash commands, agent isolation, hooks, settings)
  • references/backend-claude-teams.md - Concrete examples for Claude native teams (TeamCreate + SendMessage)
  • references/backend-codex-subagents.md - Concrete examples for Codex CLI and Codex sub-agents
  • references/backend-background-tasks.md - Fallback: Task(run_in_background=true)
  • references/backend-inline.md - Degraded single-agent mode (no spawn)
  • references/claude-cli-verified-commands.md - Verified Claude CLI command shapes and caveats
  • references/codex-cli-verified-commands.md - Verified Codex CLI command shapes and caveats
  • references/cli-command-failures-2026-02-26.md - Dated failure log and mitigations from live runs

These are not directly invocable skills. They are loaded by other skills (council, crank, swarm, research, implement) when needed.


CLI Availability Pattern

All skills that reference external CLIs MUST degrade gracefully when those CLIs are absent.

Check Pattern

# Before using any external CLI, check availability
if command -v bd &>/dev/null; then
  # Full behavior with bd
else
  echo "Note: bd CLI not installed. Using plain text tracking."
  # Fallback: use TaskList, plain markdown, or skip
fi

Fallback Table

Capability When Missing Fallback Behavior
bd Issue tracking unavailable Use TaskList for tracking. Note "install bd for persistent issue tracking"
ao Knowledge flywheel unavailable Write learnings to .agents/learnings/ directly. Skip flywheel metrics
gt Workspace management unavailable Work in current directory. Skip convoy/sling operations
codex CLI missing or model unavailable Fall back to runtime-native agents. Council pre-flight checks CLI presence (which codex) and model availability for --mixed mode.
cass Session search unavailable Skip transcript search. Note "install cass for session history"
Model tier config .agentops/config.yaml missing Use built-in defaults (quality=opus, balanced=sonnet, budget=haiku). Tier resolution falls through to "balanced".

Required Multi-Agent Capabilities

Council, swarm, and crank require a runtime that provides these capabilities. If a capability is missing, the corresponding feature degrades.

Capability What it does If missing
Spawn subagent Create a parallel agent with a prompt Cannot run multi-agent. Fall back to --quick (inline single-agent).
Agent-to-agent messaging Send a message to a specific agent No debate R2. Workers run fire-and-forget.
Broadcast Message all agents at once Per-agent messaging fallback.
Graceful shutdown Request an agent to terminate Agents terminate on their own when done.
Shared task list Agents see shared work state Lead tracks manually.

Every runtime maps these capabilities to its own API. Skills describe WHAT to do, not WHICH tool to call.

After detecting your backend (see Backend Detection below), load the matching reference for concrete tool call examples:

Backend Reference
Claude feature contract skills/shared/references/claude-code-latest-features.md
Claude Native Teams skills/shared/references/backend-claude-teams.md
Codex Sub-Agents / CLI skills/shared/references/backend-codex-subagents.md
Background Tasks (fallback) skills/shared/references/backend-background-tasks.md
Inline (no spawn) skills/shared/references/backend-inline.md

Backend Detection

Use capability detection at runtime, not hardcoded tool names. The same skill must work across any agent harness that provides multi-agent primitives. If no multi-agent capability is detected, degrade to single-agent inline mode (--quick).

Selection policy (runtime-native first):

  1. If running in a Claude session and TeamCreate/SendMessage are available, use Claude Native Teams as the primary backend.
  2. If running in a Codex session and spawn_agent is available, use Codex sub-agents as the primary backend.
  3. If both are technically available, pick the backend native to the current runtime unless the user explicitly requests mixed/cross-vendor execution.
  4. Only use background tasks when neither native backend is available.
Operation Codex Sub-Agents Claude Native Teams OpenCode Subagents Inline Fallback
Spawn spawn_agent(message=...) TeamCreate + Task(team_name=...) task(subagent_type="general", prompt=...) Execute inline
Spawn (read-only) spawn_agent(message=...) Task(subagent_type="Explore") task(subagent_type="explore", prompt=...) Execute inline
Wait wait(ids=[...]) Completion via SendMessage Task returns result directly N/A
Retry/follow-up send_input(id=..., message=...) SendMessage(type="message", ...) task(task_id="<prior>", prompt=...) N/A
Cleanup close_agent(id=...) shutdown_request + TeamDelete() None (sub-sessions auto-terminate) N/A
Inter-agent messaging send_input SendMessage Not available N/A
Debate (R2) Supported Supported Not supported (no messaging) N/A

OpenCode limitations:

  • No inter-agent messaging — workers run as independent sub-sessions
  • No debate mode (--debate) — requires messaging between judges
  • --quick (inline) mode works identically across all backends

Backend Capabilities Matrix

Prefer native teams over background tasks. Native teams provide messaging, redirect, and graceful shutdown. Background tasks are fire-and-forget with no steering — only a speedometer and emergency brake.

Capability Codex Sub-Agents Claude Native Teams Background Tasks
Observe output wait() result SendMessage delivery TaskOutput (tail)
Send message mid-flight send_input SendMessage NO
Pause / resume NO Idle → wake via SendMessage NO
Graceful stop close_agent shutdown_request TaskStop (lossy)
Redirect to different task send_input SendMessage NO
Adjust scope mid-flight send_input SendMessage NO
File conflict prevention Manual git worktree routing Native isolation: worktree + lead-only commits None
Process isolation YES (sub-process) Shared worktree Shared worktree

When to use each:

Scenario Backend
Quick parallel tasks, coordination needed Claude Native Teams
Codex-specific execution Codex Sub-Agents
No team APIs available (last resort) Background Tasks

Skill Invocation Across Runtimes

Skills that chain to other skills (e.g., /rpi calls /research, /vibe calls /council) MUST handle runtime differences:

Runtime Tool Behavior Pattern
Claude Code Skill(skill="X", args="...") Executable — skill runs as a sub-invocation Skill(skill="council", args="--quick validate recent")
Codex N/A Skills not available — inline the logic or skip Check if Skill tool exists before calling
OpenCode skill tool (read-only) Load-only — returns <skill_content> blocks into context Call skill(skill="council"), then follow the loaded instructions inline

OpenCode skill chaining rules:

  1. Call the skill tool to load the target skill's content into context
  2. Read and follow the loaded instructions directly — do NOT expect automatic execution
  3. NEVER use slashcommand syntax (e.g., /council) in OpenCode — it triggers a command lookup, not skill loading
  4. If the loaded skill references tools by Claude Code names, use OpenCode equivalents (see tool mapping below)

Cross-runtime tool mapping:

Claude Code OpenCode Notes
Task(subagent_type="...") task(subagent_type="...") Same semantics, different casing
Skill(skill="X") skill tool (read-only) Load content, then follow inline
AskUserQuestion question Same purpose, different name
TaskCreate, TaskUpdate, TaskList, TaskGet todo Task tracking (Claude uses 4 tools, OpenCode uses 1)
Read, Write, Edit, Bash, Glob, Grep Same names Identical across runtimes

Rules

  1. Never crash — missing CLI = skip or fallback, not error
  2. Always inform — tell the user what was skipped and how to enable it
  3. Preserve core function — the skill's primary purpose must still work without optional CLIs
  4. Progressive enhancement — CLIs add capabilities, their absence removes them cleanly

Reference Documents

how to use shared

How to use shared on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add shared
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/boshu2/agentops --skill shared

The skills CLI fetches shared from GitHub repository boshu2/agentops and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/shared

Reload or restart Cursor to activate shared. Access the skill through slash commands (e.g., /shared) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.646 reviews
  • Pratham Ware· Dec 16, 2024

    shared is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Dhruvi Jain· Dec 12, 2024

    shared has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yuki Sanchez· Dec 8, 2024

    shared reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Evelyn Martin· Dec 8, 2024

    We added shared from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ava Jain· Dec 8, 2024

    Registry listing for shared matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kiara Bhatia· Dec 4, 2024

    shared fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yuki Jackson· Nov 27, 2024

    Registry listing for shared matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Camila Chawla· Nov 27, 2024

    Useful defaults in shared — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • William Gonzalez· Nov 27, 2024

    shared reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Benjamin Rao· Nov 15, 2024

    shared is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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