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SkillsMP has collected 418 skills from Dingxingdi/paper_fast_search_backup. Open a skill to review its source and details.
Dingxingdi/paper_fast_search_backupShowing 40 of 418 collected skills.
Use this skill when you have a big task that needs many steps to finish, like a long-term plan or a complex project. Trigger it for requests like “follow this long list of steps,” “help me reproduce this bug from the report,” “do a long sequence of chores…
Use this skill to assess if an Agent's proposed actions are truly aligned with user intent rather than being hijacked by external tricks or internal errors. Trigger it for requests like “watch out for phishing links,” “make sure you don't delete the wrong…
Use this skill when the user wants to find a button or setting that isn't on the front page and requires digging through menus. Trigger it for requests like “I can't find where to change my avatar,” “where is the customer service hidden,” “find the setting to…
Use this skill when the user wants tasks that only count as solved if the underlying state really changed, not if the screen merely looks right for a moment. Trigger it for requests like “make sure it is actually saved,” “verify the result from the real app…
Use this skill when the user wants data that tests whether the agent takes the shortest, most optimal GUI path instead of wandering, overthinking, or executing redundant actions. Trigger it for requests like 'same task but fewer clicks,' 'don't click the…
Use this skill when the task requires actions to be timed perfectly, such as waiting for a hidden element to appear, holding a button for a specific duration, or clicking a target that is moving or changing. Trigger it for requests like "wait a few seconds…
Use this skill when the user wants to test if the agent can be monitored and corrected by an independent process during execution. It should be triggered by casual requests like “stop the agent if it starts looping,” “kill the task if it spends too much…
Use this skill when the user wants an agent to lead a project involving a mix of people and other AI assistants that it hasn't met or worked with before. It should be triggered by casual requests like “put a team together for this,” “manage the human experts…
Use this skill when the user wants to test an agent's ability to resist manipulation of its internal reasoning, task plans, or session memory. It targets scenarios where an attacker might inject fictitious plans into the conversation history, 'poison' the…
Use this skill when the user gives a short or messy request that doesn't explain the full details, but the 'right way' to do it is already visible in the environment. It should be triggered by casual phrasing like “finish the rest of the list,” “do it just…
Use this skill when the user wants high-stakes tasks handled with extreme precision using multiple specialized experts who must check, debate, or score each other's work to reach a final consensus. It is triggered by requests like 'let the specialists debate…
Use this skill when the user wants to automate a multi-step objective that spans different servers, apps, and domains without naming the tools, or when they provide 'deep research' tasks requiring solving layers of sub-questions. It is triggered by requests…
Use this skill when the user wants to test how an agent handles unexpected changes, environmental disruptions, or live telemetry pushes in the middle of a task. Trigger it for natural language requests like 'what if the road is closed?', 'make sure you see…
Use this skill when the user wants examples where the final answer must be backed by concrete evidence, such as “make it cite what the tools found,” “test whether it hallucinates in the summary,” or “have a second expert review this for facts to catch lies.”…
Use this skill when the user wants to automatically improve how an agent works over several tries, such as “make the agent learn from its mistakes,” “let the system figure out the best prompt for this task,” “find the bottleneck in my current workflow,” or…
Use this skill when the user wants examples where the request sounds casual, messy, or business-like rather than technical, such as “connect the dots and pick the right tools,” “make it figure out which app to use,” or “route this to the agent with the right…
Use this skill when the user wants the agent to create a complete map, blueprint, or flowchart of actions before doing anything. It should be triggered by layman phrases like 'plan the whole process at once,' 'show me the arrows between the tools,' 'don't…
Use this skill when the user wants the agent to strictly follow a professional handbook, industrial SOP, or clinical guideline while remaining resilient to environmental noise or out-of-script requests. It is triggered by casual language like “follow the work…
Use this skill when the user needs to achieve complex, long-horizon objectives that span multiple stages, hosts, or environments where low-level execution logs would overwhelm the agent. Trigger it for requests like 'plan at a high level,' 'decouple the plan…
Use this skill when the user wants an agent to work efficiently on long workflows without stopping to check every single small detail, but still requires a safety net to prevent cascading errors if upstream logic goes wrong. Trigger it for layman requests…
Use this skill when you want to divide a big, complicated job among different 'expert teams' or 'specialized sub-agents' rather than having one agent try to do everything at once. This is perfect for requests like “let the local files team handle the database…
Use this skill when a user wants to decide whether a problem needs a single powerful agent or a whole team of specialized sub-agents working together. It is triggered by casual phrasing such as “keep it simple,” “don’t over-complicate the team,” “is a team…
Use this skill when the user wants examples about running several subtasks at once, such as “make it delegate independent work in parallel,” “test whether it knows what can be done simultaneously,” or “plan a response where several items are handled…
Use this skill when the user provides a request involving a massive amount of data, logs, or dense, high-resolution artifacts (like a giant technical diagram) that are far too large or complex for a single context window. It is triggered by layman requests…
Use this skill when the user wants examples where the agent must call tools with the exact right fields and formats, such as “make it fill every input correctly,” “test whether it messes up the API format,” “see if it uses the right parameter types,” or “give…
Use this skill when the user wants an agent to handle complex projects by bridging different 'expert sub-tasks', tracking deeply nested historical logs to see what previously changed, or utilizing a shared memory blueprint. It is highly applicable when…
Use this when the user wants planning data about moving several items with limited carrying ability, two hands, one hoist, or tight transport capacity. Trigger it for requests like 'make tasks where the robot can only carry a little at a time', 'give me…
Use this when the agent needs to figure out what happened in the past to reach its current situation, especially if it is confused or the environment changed unexpectedly. Trigger it for requests like 'how did I get to this screen?', 'reconstruct the steps…
Use this when the user needs to solve complex logic puzzles, evaluate solvability, find the best route through millions of points, or optimize resource allocation in NP-hard problems with irregular structures. Trigger it for requests like 'solve this massive…
Use this when you want an agent that accumulates experience across a series of tasks to improve its success, or when an agent must use past 'Thought Patterns' to figure out complex or vague intents. Trigger it for requests like 'learn from your previous…
Use this when the user needs a plan that chains together multiple interactive steps where later stages depend purely on earlier outputs, such as passing API parameters, moving text between apps, inserting linked SQL records, or chaining network recon into an…
Use this when the user wants to automate technical or tool-use workflows that require running code or invoking APIs, analyzing error logs or feedback, and fixing the logic step-by-step. Trigger it for requests like 'debug this API call using feedback',…
Use this when the user wants planning data about strict requirements like budget caps, room type, no pets, medical contraindications, numeric thresholds, identity-verification gates, or scheduling overlapping meetings. Trigger it for requests like 'make…
Use this when the user provides long-horizon navigation instructions in 3D environments that require following a sequence of landmarks, extracting map coordinates, or navigating based on functional zones and user-lifestyle demands. Trigger it for requests…
Use this when the user wants to solve a large, multi-faceted project by breaking a distal goal into a sequence of abstract middle-states, sub-goals, or typed nodes like research versus writing. Trigger it for requests like 'break this big project into…
Use this when the user wants planning data about plans that should 'make sense' or 'be safe' even if the user did not spell out every rule. Trigger it for requests like 'make itinerary tasks where the plan should feel realistic', 'make sure the agent doesn't…
Use this when the user needs to reach a target outcome by asking the most efficient sequence of questions to narrow down a large set of possibilities. Trigger it for requests like 'find the right item using the fewest questions', 'create a help desk flow that…
Use this when the user wants high-resolution travel plans spanning multiple days or cities with precise hour-by-hour schedules, meal gap logic, and clustering based on public transit proximity. Trigger it for requests like 'make a detailed trip schedule with…
Use this when the user wants planning data for scenarios where an agent must track what other actors know, believe, or intend (Theory of Mind). Trigger it for requests like 'make tasks where the agent has to guess what its partner knows', 'solve a…
Use this when the user wants to optimize planning latency by running multiple independent tool calls at once, and dynamically fixing or reorganizing the plan if a part fails. Trigger it for requests like 'find information on several things simultaneously',…