agent-harness
alirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kagent-harness
No description
AI & agents Skill
187 Skills in “AI & agents”, ranked by their repository’s GitHub stars. Categories are assigned automatically and are for reference only.
AllAI & agents187Databases & data58Frontend52Docs & office44Projects & collaboration39Testing39Code quality & review23Science23Security12Browser automation11DevOps & cloud7
agent-launcher-orchestratoralirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kagent-launcher-orchestrator
No description
agent-memoryalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kagent-memory
No description
agent-protocolalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kagent-protocol
No description
agent-workflow-designeralirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kagent-workflow-designer
No description
agenthubalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kagenthub
No description
agile-product-owneralirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kagile-product-owner
No description
ai-act-readinessalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kai-act-readiness
No description
aims-auditalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kaims-audit
No description
andreessenalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kandreessen
No description
api-design-revieweralirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kapi-design-reviewer
No description
app-store-optimizationalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kapp-store-optimization
No description
apple-hig-expertalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kapple-hig-expert
No description
hivemindalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28khivemind
Orchestrate free opencode workers from Claude Code to cut token costs. Use when delegating grunt work to a single worker or a parallel swarm (scout/coder/tester) with worktree isolation, benchmarking against opencode, or when the user says "spawn a worker", "swarm", "delegate to opencode", or "/oc".
loop-libraryalirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kloop-library
Discover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs. Use when a user asks to analyze a codebase for potential loops, mine coding-thread history for work done more than once, turn repeated engineering work into a loop, find or recommend a published loop, create a recurring agent workflow or automation cadence, turn an outcome into a bounded copy-ready loop, or review an existing loop for weak checks, unsafe authority, unbounded repetition, stale state, or unclear stopping behavior.
strict-apialirezarezvani/claude-skills28k
alirezarezvani/claude-skills28kstrict-api
Use when the user says 'no hallucinations', 'verify APIs', 'reality check', or 'don't invent functions'. Prevents the agent from calling methods, imports, or variables that do not provably exist in the user's installed version.
brainstorm-okrs
phuryn/pm-skills27k
phuryn/pm-skills27kbrainstorm-okrs
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs.
cohort-analysisphuryn/pm-skills27k
phuryn/pm-skills27kcohort-analysis
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
intended-vs-implementedphuryn/pm-skills27k
phuryn/pm-skills27kintended-vs-implemented
The method for finding the gap between what a system is supposed to do and what the code actually does — the class of bug generic scanners miss because they have no model of intent. Defines what counts as documented intent, what counts as implementation evidence, which mismatches matter, and how to avoid hand-wavy findings. Use when auditing AI-built code, reviewing access control against documented permissions, or checking whether a codebase matches its own documentation.