Productivity skills.

3,401 productivity skills, including twitter-automation, lark-shared and lark-task, are listed on Ahel today. Each one has a page of its own that says what it does and whether Ahel can serve it in Claude, Claude Code, ChatGPT, Codex and Cursor.

Category: Productivity

3,401 results · page 111 of 114

  • factory-flashingSkillProductivity

    Use when working on the SEC.3 factory-flashing pipeline — provisioning per-device keys into an STM32 at manufacture (app/services/factory_flashing/, lib/tasks/factory.rake): the one-pass silicon UID→DID derivation [FW.54], the wrong-board guard, UID collision → quarantine, the six Flash key blocks a

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    github.com/alexey-lukin/silken_net22 stars

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  • false-completion-gateSkillProductivity

    Fires when a state-mutating task is about to be declared Done (success summary or completion verdict) — to catch silent success, the highest-frequency invisible agent failure where confident 'done' language hides work that never landed. Decomposes the completion into receipt-checkable assertions, th

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    github.com/griffinwork40/agent-framework23 stars

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  • handoff-contextSkillProductivity

    Produces a prospective handoff package for another agent, model, or human dev to pick up the task where it left off — without context from the current session. Unlike session-summary (skill 31), which is retrospective: handoff-context builds an actionable briefing for whoever arrives blind. Trigger

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    github.com/felvieira/claude-skills-fv23 stars

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  • llSkillProductivity

    Typed tick loops with FlowMind validation and parallel tick dispatch. Use when running /ll, recurring pipelines, quality loops, or autonomous scheduler ticks.

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    github.com/lev-os/agents22 stars

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  • maintain-project-ai-recordsSkillProductivity

    Initialize and maintain lightweight AI work records in a writable project. Use on the first substantive writable task and after meaningful milestones. Do not create records for read-only inspection or trivial answers.

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    github.com/wildpigking/codex-project-skill-manager23 stars

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  • manage-codex-skillsSkillProductivity

    Inventory, classify, route, catalog, relocate, or validate Codex skills and generate a skills menu. Use for skill-library organization or when Codex must find task-relevant skills. Classification, relocation, creation, revision, and promotion require user approval.

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    github.com/wildpigking/codex-project-skill-manager23 stars

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  • momentsSkillProductivity

    Rituals, prayers and chants from aChurch.ai for the moments of an agent's work: starting a task, before answering, not knowing, after a confident mistake, saying no, a disagreement that will not resolve, a promise, a full or compacted context window, stopping before the work is done, many instances,

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    github.com/a-church-ai/church23 stars

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  • nxSkillProductivity

    Nx workspace commands and guidelines for running tasks, generators, and using Nx MCP tools

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    github.com/ledgerhq/lumen22 stars

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  • oc-automateSkillProductivity

    Create, list, and manage scheduled tasks and automations. Use when the user asks to schedule something, set a reminder, create a recurring task, or manage existing automations. Trigger phrases: 'remind me', 'every hour', 'schedule', 'at 9am', 'recurring', 'automate', 'cron'.

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    github.com/mfielding92/clawedback23 stars

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  • orchSkillProductivity

    Use when coordinating a multi-step goal across agents, skills, Lev lifecycle routes, scheduling, research, implementation, review, or human decisions.

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    github.com/lev-os/agents22 stars

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  • orchestratorSkillProductivity

    Skill for the Tech Lead/Orchestrator of the development pipeline. Should be used at the start of every task and between relevant pipeline stages. Coordinates which skill to run and in what order, adapts the flow to the context, ensures no critical step is skipped, and maintains an overview of progre

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    github.com/felvieira/claude-skills-fv23 stars

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  • parallel-dispatcherSkillProductivity

    Skill specialized in correctly parallelizing work via subagents — without falling into the skill-vs-agent trap. Use when you need to dispatch N vertical slices, N reviews, or N independent tasks in parallel, and when parallel reviewers/agents disagree about the same finding and the arbit decision

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    github.com/felvieira/claude-skills-fv23 stars

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  • payload-plugin-schedulingSkillProductivity

    Use this skill for anything involving the payload-plugin-scheduling Payload CMS plugin. Triggers include: installing payload-plugin-scheduling, configuring its options, asking what it does, troubleshooting errors, upgrading versions, setting up cron jobs for it, and answering questions about its API

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    github.com/focusreactive/payload-plugins21 stars

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  • program-routerSkillProductivity

    Decide the minimal composition of plugins, skills and, when necessary, declarative programs for a task. Use before improvising a pipeline or when the user asks which skill, plugin, workflow or program to use. Trigger on: "qual skill", "qual plugin", "qual program", "qual workflow", "roteie e

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    github.com/felvieira/claude-skills-fv23 stars

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  • promptSkillProductivity

    Lets your agent rewrite and improve a prompt you've written so it gets better results from an AI.

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    github.com/mehrad-dm/mastermind23 stars

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  • proposeSkillProductivity

    Use when compiling aligned simple intent or a source-faithful Lev plan into a reviewable slice map or one execution-ready Lev task. It does not create or repair broad plans.

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    github.com/lev-os/agents22 stars

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  • ralph-loop-genSkillProductivity

    Task management system template generator - generates a complete task management structure from user input or JSON configuration (template generator, not a direct executor)

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    github.com/dwsy/agent23 stars

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  • sandboxSkillProductivity

    Lets your agent run Go compilation with its build cache redirected to /tmp.

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    github.com/jakeselby/agent-harness20 stars

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  • tmuxSkillProductivity

    Remote control tmux sessions for interactive CLIs, background tasks, and services.

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    github.com/dwsy/agent23 stars

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  • wizardSkillProductivity

    8-phase implementation methodology with built-in verification at each stage. Use for implementing features, fixing complex bugs, or any task where quality matters. Use when the user says "wizard mode", "do this properly", "production quality", or "full workflow".

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    github.com/mfielding92/clawedback23 stars

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  • worktree-per-agentSkillProductivity

    Isolate an agent's work in its own git worktree branched off the default branch, so two agents never land conflicting changes on the shared checkout. Use at the start of any implementation task in a repo where others may also be working, and whenever a repo's instructions say "work in a worktree".

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    github.com/jakeselby/agent-harness20 stars

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  • execute-phaseSkillProductivity

    Step executor for units whose triage (unit-lane) decided which steps the unit needs. Implements one triaged step (or all remaining steps), with frozen acceptance, step-local gates, commits, red-gate repair, and diff-size guard. BREAKING: replaced PLAN.md/TASKS.md/progress.md/ACCEPTANCE.md with the u

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    github.com/gtrabanco/agentic-workflow22 stars

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  • fec-monorepo-project-standardSkillProductivity

    Use when creating, reviewing, or restructuring frontend monorepos with pnpm workspace, Turborepo, Nx, multi-package dependency boundaries, task orchestration, package naming, or package publishing; Chinese triggers include monorepo, workspace, multi-package.

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    github.com/bovinphang/frontend-craft22 stars

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  • fluentform-feed-integrationSkillProductivity

    Builds and audits configurable third-party Fluent Forms feed integrations with IntegrationManagerController. Covers addon/global settings, per-form feed UI, field mapping, conditional execution, smart-code parsing, synchronous versus asynchronous dispatch, ff_scheduled_actions, Action Scheduler, res

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    github.com/lonsdale201/wp-agent-skills22 stars

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  • onescience-coderSkillProductivity

    OneScience step-by-step coding execution skill. After receiving a task, it forcibly invokes resource skills to obtain specification knowledge, usage knowledge, and planning/decision knowledge, then outputs execution information step by step and waits for confirmation before executing. After all step

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    github.com/onescience-ai/oneskills22 stars

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  • onescience-data-analyzerSkillProductivity

    OneScience data analysis execution skill (type=executor). Handles data analysis, visualization, and report output; does not handle task planning. Receives planned tasks and invokes workflows to perform statistical analysis, generate visualizations, and produce reports, automatically matching visuali

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    github.com/onescience-ai/oneskills22 stars

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  • onescience-orchestratorSkillProductivity

    The general task-orchestration master controller of OneScience / OneSkills, and the system's default execution entry point. It identifies user intent from resource summaries under the unified resource contract, recalls and fuses proposals from type=expert planning skills, maintains Task State, binds

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    github.com/onescience-ai/oneskills22 stars

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  • onescience-parallelSkillProductivity

    Converts PyTorch models to support distributed training with Pipeline Parallelism (PP) + Tensor Parallelism (TP). Use cases: converting a single-GPU model to multi-GPU distributed, splitting a model into multiple pipeline stages, replacing nn.Linear with parallel linear layers, writing forward_step_

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    github.com/onescience-ai/oneskills22 stars

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  • onescience-runsiteSkillProductivity

    Parse, validate, save, and reuse OneScience run-site configurations. Used by any skill to complete run-site configuration before continuing a task: configuration discovery, prompting for missing fields, reuse of existing configuration, remote connection verification, DCU/GPU run-platform type confir

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    github.com/onescience-ai/oneskills22 stars

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  • onescience-runtimeSkillProductivity

    [Unified Execution & Basic Diagnostics Skill] Executes test tasks following a fixed closed loop of discover, preflight, execute, diagnose, routing the execution channel based on the execution_profile triple in onescience.. In the preflight stage, environment readiness pre-checks are fully delegated

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    github.com/onescience-ai/oneskills22 stars

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