Agents

Agents d’IA i automatització

Skills: 217–240 de 5647
WellApp-ai

session-status

WellApp-ai

Generate breadcrumb headers/footers with takt time tracking and muda metrics

Agents 346 fa 9 mesos
AsiaOstrich

Git Workflow Guide

AsiaOstrich

Guide Git branching strategies, branch naming, and merge operations. Use when: creating branches, merging, pull requests, Git workflow questions. Keywords: branch, merge, PR, pull request, GitFlow, GitHub Flow, 分支, 合併, 工作流程.

Agents 80 fa 8 mesos
MakFly

symfony:daily-workflow

MakFly

Apply production-grade Symfony architecture and execution workflows with controlled scope and clear checkpoints. Use for daily workflow tasks.

Agents 226 fa 8 mesos
letta-ai

learning-sdk-integration

letta-ai

Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK

Agents 152 fa 10 mesos
NVIDIA

underdeclared-agent

NVIDIA

A helpful assistant agent

Agents 21,1 k fa 5 mesos
NVIDIA

safe-greeting

NVIDIA

A simple greeting skill that says hello to users

Agents 21,1 k fa 5 mesos
NVIDIA

chef-assistant

NVIDIA

Use when cooking or planning meals, troubleshooting recipes, learning culinary techniques

Agents 21,1 k fa 5 mesos
cursor

cancel-ralph

cursor

Cancel an active Ralph Loop. Use when the user wants to stop, cancel, or abort a running ralph loop.

Agents 13,7 k fa 8 mesos
cursor

what-did-i-get-done

cursor

Summarize authored commits over a user-specified time period into a concise update

Agents 13,7 k fa 8 mesos
cursor

run-learning-retrospective

cursor

Evaluate learning progress, identify blockers, and adjust the learning plan

Agents 13,7 k fa 8 mesos
cursor

ralph-loop-help

cursor

Explain the Ralph Loop plugin, how it works, and available skills. Use when the user asks for help with ralph loop, wants to understand the technique, or needs usage examples.

Agents 13,7 k fa 8 mesos
cursor

get-pr-comments

cursor

Fetch and summarize review comments from the active pull request

Agents 13,7 k fa 8 mesos
travisjneuman

agent-teams

travisjneuman

Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns

Agents 105 fa 8 mesos
hoangsonww

session-debug

hoangsonww

Debug a specific session by inspecting its full event chain (PreToolUse, PostToolUse, Stop, SubagentStop, Compaction, APIError, TurnDuration, Notification events), agent hierarchy (recursive parent/child tree with subagent_type and depth), token usage with compaction baselines, workflow intelligence data (orchestration DAG, error propagation by depth), and session metadata (thinking_blocks, turn_count, total_turn_duration_ms).

Agents 1,1 k fa 2 mesos
hoangsonww

run-agent

hoangsonww

Launch and supervise Claude Code or Codex through the CCAM Run API. Use when the user wants to start a monitored agent, select a model, approval policy, sandbox, or working directory, send a follow-up, inspect live output, resume a native session, or stop a dashboard-launched run.

Agents 1,1 k fa 2 mesos
hoangsonww

error-propagation

hoangsonww

Trace error propagation through a multi-agent session by agent depth — where failures originated, the depth at which they appeared, and how they cascaded up to parent agents — using the Agent Monitor workflow intelligence API and the session event stream. Use when a multi-agent run failed and you need to find the origin and blast radius of the failure.

Agents 1,1 k fa 2 mesos
hoangsonww

dag-map

hoangsonww

Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API. Cross-checks the orchestration dataset against the raw agent records and session detail. Use when visualizing how a session's agent structure was organized.

Agents 1,1 k fa 2 mesos
hoangsonww

workflow-optimizer

hoangsonww

Analyze workflow patterns using the Agent Monitor's workflow intelligence API — orchestration DAGs, tool flow transitions, subagent effectiveness, model delegation patterns, error propagation by depth, concurrency lanes, compaction impact, and agent co-occurrence. Produces prioritized optimization recommendations with quantified impact.

Agents 1,1 k fa 2 mesos
hoangsonww

release-guard

hoangsonww

Run release-readiness checks for this repository. Use when validating docs, scripts, verification coverage, and operational safety before merge or release.

Agents 1,1 k fa 7 mesos
hoangsonww

concurrency-report

hoangsonww

Report concurrency and parallelism for a session — how many agents ran in parallel, concurrency-lane utilization, peak parallel width, and serialization bottlenecks (sequential chains that could have run as parallel lanes) — using the Agent Monitor workflow intelligence API. Use when checking whether a multi-agent session used parallelism efficiently.

Agents 1,1 k fa 2 mesos
hoangsonww

productivity-score

hoangsonww

Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cache_read vs input), compaction pressure (baseline tokens), turn velocity (turn_count / total_turn_duration_ms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and effectiveness scores.

Agents 1,1 k fa 2 mesos
hoangsonww

workflow-report

hoangsonww

Create a workflow-intelligence report from CCAM orchestration, delegation, tool flow, concurrency, complexity, compaction, and fleet-run data. Use for architecture reviews, agent-fleet analysis, or workflow optimization reports.

Agents 1,1 k fa 2 mesos
hoangsonww

session-compare

hoangsonww

Compare two sessions side-by-side using Agent Monitor data — per-model token usage (input/output/cache_read/cache_write + compaction baselines), pricing engine cost breakdowns, workflow intelligence (complexity scores, tool flow transitions, subagent effectiveness), session metadata (thinking_blocks, turn_count, turn_duration_ms, usage_extras), and full event timelines with all 10+ event types.

Agents 1,1 k fa 2 mesos
hoangsonww

ship-feature

hoangsonww

Implement a feature safely end-to-end in this repository. Use when adding or changing functionality across backend, frontend, or MCP with required verification and documentation updates.

Agents 1,1 k fa 7 mesos