'complete' 검색 결과

Turn agent activity and transcript token counts into a cost report organized around completed outcomes. Separate estimates from measured spending, examine waste and rework, and export readable HTML with supporting JSON, CSV, and evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing weekly agent spending and completed work
• Comparing costs per completed outcome
• Investigating the cost of loops and rework

Reviews completed changes through hands-on checks and one reviewer agent. It compares the implementation and recorded evidence with the original goal, constraints, code quality, and security requirements, then reports approval, specific blockers, or an inconclusive result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing completed changes before a pull request handoff
• Checking whether an implementation meets the original request
• Organizing failed checks and required fixes

Analyze price swings to detect Elliott Wave structures: five waves following a trend and three waves correcting it. Check wave rules and Fibonacci ratios, then generate signals for completed advances or pullbacks using a pandas implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Detecting five-wave advances in price data
• Identifying completed ABC corrections
• Adjusting wave-detection parameters

Perform live Windows or macOS desktop tasks that dedicated tools cannot complete. The skill guides app and window selection, clicks, text entry, and keyboard actions, checking fresh screen information and verifying the requested result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Completing desktop tasks without a suitable dedicated tool
• Entering and committing text in an app
• Selecting the correct window among similar windows

Manage a running task list in a gbrain page using stable IDs and four priority levels. Add, complete, defer, remove, or review tasks while recording completion dates and deferral reasons, and clarifying ambiguous task references before changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add tasks and organize them by priority
• Complete a specific task by ID
• Defer work with a target date and reason

Turn call notes, meeting transcripts, or email exchanges into completed CRM activities linked to the relevant account, deal, and contacts. Review the entry with its sources, save it on request, and check past activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Log a completed customer call
• Summarize a meeting transcript for the CRM
• Record an email exchange against a deal

Review logs and source files from a completed manual example run. Check that results are current and complete, verify intended behavior beyond successful exit codes, and distinguish product defects from environment or credential problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review results after a manual example run
• Verify behavior in examples that exited successfully
• Separate product failures from environment problems

Review completed code changes against the original requirements, choosing review depth by behavioral risk. Coordinate independent reviewers, resolve actionable findings, and verify that the delivered changes match the content actually reviewed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review completed changes before final verification
• Choose review depth based on behavioral risk
• Re-review fixes after actionable findings

Review completed AI work by scoring task difficulty and execution quality separately. A fixed scoring matrix, arguments for higher and lower ratings, and saved score history help examine weaknesses and detect repetitive scoring patterns across sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluate a completed feature implementation
• Review the quality and coverage of a bug fix
• Reflect on work completed during a session

Learn the complete OpenSpec workflow through a small task in an actual codebase. The agent explains each stage while creating a proposal, specifications, design, and tasks, then implements the change and archives its records.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning OpenSpec through a real code change
• Understanding proposals, specifications, designs, and tasks
• Practicing a complete change cycle with a small fix

Archive several OpenSpec changes together after reviewing their documents, task completion, and specification conflicts. The agent checks actual code to decide which specification updates to apply, asks for confirmation, and reports successes, skipped changes, and failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Archiving several completed changes together
• Reviewing incomplete documents and tasks before archiving
• Resolving overlapping specifications using implementation evidence

Build a short, playable game sequence before full production to check whether the complete gameplay loop works at the intended quality. Use playtest observations and daily progress records to assess feasibility and decide the next direction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking production feasibility after game design is complete
• Testing a complete gameplay loop with players
• Estimating production speed from actual build progress

Review a completed development task against its acceptance criteria, check differences from design and architecture documents, and prompt code review. After approval, update the task's status and identify the next story to work on.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking acceptance criteria before closing a development task
• Recording differences between implementation and design
• Remembering code review before marking work complete

Evaluate whether completed experiments support a research claim using a separate Codex reviewer. Identify unsupported conclusions and missing evidence, then determine whether to revise the claim, run additional experiments, or move toward paper writing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check research claims before drafting a paper
• Plan additional experiments for incomplete evidence
• Reconsider an approach after unsupported results

Develop mathematical proofs for machine learning and AI theory by checking assumptions, intermediate results, and edge cases. Produce a complete proof, a corrected claim with its proof, or a report explaining the unresolved gap.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a proof of a theorem or lemma
• Expand a proof sketch into justified steps
• Check for hidden assumptions and counterexamples

Prepare a conference talk from a completed paper, including an outline, Beamer slides, editable PPTX, speaker notes, and a full script. Polish the visuals, check exported files, and optionally audit claims, citations, and anonymity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a full conference talk from a completed paper
• Create Beamer slides and an editable PPTX
• Prepare speaker notes, a talk script, and Q&A

Uses a completed ZKsync Era investigation with no reportable findings as a defense study. It explains 25 tested attack vectors, the safeguards that blocked them, and criteria for deciding whether to continue reviewing a large bridge protocol.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning defensive design from a completed ZKsync Era investigation
• Reviewing why 25 tested attack vectors failed
• Assessing whether to continue investigating a large bridge

Work through design or implementation choices one at a time, with concise context and clear alternatives. You can also review completed code change by change, recording decisions, approvals, and requested revisions in a final table.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare design choices one decision at a time
• Resolve implementation choices with recorded answers
• Review completed code in logical steps

Track shared work across AI agents using a SQLite database. The skill claims tasks, records progress and evidence for each step, skips completed work, and checks required procedures before marking a task complete.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assigning work from a shared queue to multiple agents
• Resuming tasks while skipping completed steps
• Checking required procedures before task completion

Prepare a structured JSON handoff for bug fixes or pull request reviews. Capture outcomes, test evidence, change impact, publication status, and remaining work so the next person or workflow can understand what is complete and what remains.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Handing off a completed bug fix
• Recording an existing pull request review
• Documenting unresolved checks and remaining work

Audit validation coverage for a completed development phase and fill missing checks. The skill updates VALIDATION.md, reconstructs missing validation records from existing project artifacts, and generates test files to address gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking validation gaps after a phase is complete
• Reconstructing missing validation records from project artifacts
• Adding test files for uncovered checks

Review open GitHub issues and pull requests against project templates and contribution guidelines. Get a report on missing information and compliance, with options to apply recommended labels or close incomplete submissions with an explanatory comment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing open issues in bulk
• Checking pull requests against templates
• Applying labels based on review results

Add tests to a completed development phase using its records and implementation. Review the proposed coverage, then generate unit tests for individual components and browser tests for full workflows, verify them, and commit the test files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding automated tests after a development phase is complete
• Turning acceptance criteria into test coverage
• Reviewing which code needs unit or browser tests

Extract decisions, lessons, recurring patterns, and unexpected findings from the artifacts of a completed development phase. It organizes these learnings into a LEARNINGS.md file using planning, summary, verification, acceptance testing, and state documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing decisions made during a completed phase
• Gathering lessons from planning and verification artifacts
• Recording discovered patterns and unexpected findings