Orchestrate multi-agent workflows to resolve software issues from requirements to tested implementation.
npx skills add https://github.com/tcytan/tecton --skill team-issue
Please help me install this Agent Skill. Skill: team-issue Source: https://github.com/tcytan/tecton/tree/main/.claude/skills/team-issue Command: npx skills add https://github.com/tcytan/tecton --skill team-issue
It reduces the time and coordination effort needed to go from a set of issue IDs to a validated implementation, by orchestrating a structured, multi-role workflow that clarifies requirements, plans changes, reviews for feasibility, queues work, and implements with tests.
Ask the skill to process issues by running: Use team-issue to resolve issues by calling Skill(skill="team-issue", args="GH-12345 GH-12346 --mode=quick").
High-intent search queries and answers about installing and using this skill.
Automating GitHub issue resolution uses a coordinated multi-agent workflow to process issues end-to-end, from clarifying requirements to generating tested implementations. It orchestrates specialized worker roles sequentially and in parallel.
Conflict-aware task planning forms a DAG-based execution queue to detect task dependencies and conflicts. This mechanism allows the system to safely parallelize code implementation across multiple issues without overlapping changes.
To resolve multiple GitHub issues in a batch pipeline, provide issue IDs and specify batch mode. The workflow forms a dependency-aware queue, executes implementation in parallel phases, and runs reviewer gates with revision loops.
Yes, the issue resolution workflow supports test-driven implementation and includes mandatory reviewer gates. In full or batch modes, it performs reviewer scoring and can run revision loops up to configured limits before proceeding to integration.
Yes, you can use Bash and MCP context search tools for coordinating agent-based software engineering tasks. These dependencies enable session state management, context reporting, and deterministic execution of team-worker agents.
Limitations include the requirement for mandatory SKILL.md routing and strict session state management. The workflow also enforces configured revision loop limits during reviewer gates, which caps the number of automated fix cycles before proceeding.
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