Enforce direct execution by disallowing plan-mode prompts in autonomous agent runs.
npx skills add https://github.com/en-dash-consulting/n-dx --skill no-plan-mode
Please help me install this Agent Skill. Skill: no-plan-mode Source: https://github.com/en-dash-consulting/n-dx/tree/main/.agents/skills/no-plan-mode Command: npx skills add https://github.com/en-dash-consulting/n-dx --skill no-plan-mode
Plan-mode stalls disrupt autonomous hench agent runs by delaying execution and breaking the loop.
Enforce the no-plan-mode rule at the start of each execution task to ensure direct implementation without plan-mode prompts.
High-intent search queries and answers about installing and using this skill.
Preventing plan-mode stalls in autonomous agent runs requires enforcing direct execution by disallowing EnterPlanMode and ExitPlanMode operations. This skill maintains continuous task flow by directing decisions via append_log and referencing CLAUDE.md architecture guidelines.
Hench agent loops stall during execution tasks when plan-mode prompts interrupt autonomous workflows. Disabling EnterPlanMode and ExitPlanMode commands enforces direct implementation, preventing delays and maintaining continuous ndx work loop momentum.
Enforcing no-plan-mode rules at the start of execution tasks involves blocking plan-mode entry and exit commands. The skill directs autonomous decisions through append_log entries and guides implementation actions using CLAUDE.md and PACKAGE_GUIDELINES.md references.
Using append_log to maintain autonomous agent workflow momentum ensures decisions are documented without triggering plan-mode prompts. This approach keeps hench agent runs flowing by replacing interactive planning steps with direct execution and continuous logging.
Keeping continuous agent loops from breaking during ndx work requires disallowing plan-mode operations entirely. By referencing CLAUDE.md and PACKAGE_GUIDELINES.md for guidance and logging decisions with append_log, autonomous task flows maintain steady execution momentum.
No-plan-mode should not be used for autonomous agent workflows requiring explicit planning approval or complex architectural review before implementation. It is designed strictly for execution-oriented tasks where direct action and continuous logging via append_log are operationally required.
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