recall-termdock-issues-dc11 Skill
description: Retrieves cross-session memories about past decisions, lessons, and patterns. Use when user asks about prior work, past decisions, or mentions a feature. Triggers include check memory, what did we decide, how did we solve.
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Why use this skill
recall-termdock-issues-dc11 is most useful when you want an agent workflow that is more structured than an ad-hoc prompt. Instead of restating the same expectations every time, a dedicated SKILL.md file gives the assistant a repeatable brief. In this case, the core value is clarity: the repo already frames the workflow around utility skills tasks, and the skill source gives you a portable starting point you can evaluate, adapt, and reuse. The inferred platform for this skill is Codex Skills, which helps you judge whether it is likely to feel native in your current agent ecosystem or whether it is better treated as a general reference.
That matters because AI assistants are better when the operating context is explicit. A good skill turns hidden team expectations into visible instructions. It can name preferred tools, describe failure modes, define what “done” looks like, and reduce the amount of corrective prompting you need after the first draft. For developers exploring the wider SKILL.md ecosystem, this page helps answer the practical question: is this skill specific and maintained enough to be worth trying?
How to evaluate and use it
Start with the source repo and the preview below. The preview tells you whether the instructions are actionable or just aspirational. Strong skills usually describe triggers, recommended tools, steps, and known pitfalls. Weak skills tend to stay generic. This one lives in termdock/termdock-issues, which gives you a concrete repo context, update history, and direct ownership trail.
Once you confirm the scope looks right, test it on a small task before making it part of a larger workflow. If it improves consistency, keep it. If it is too broad, outdated, or conflicts with your own process, treat it as a reference rather than a drop-in rule. That is the healthiest way to use directory-discovered skills: not as magic plugins, but as reusable operational knowledge that still deserves judgment.
SKILL.md preview
Previewing the source is one of the fastest ways to judge whether a skill is truly useful. This snippet comes from the public file in the linked repository.
--- name: recall description: Retrieves cross-session memories about past decisions, lessons, and patterns. Use when user asks about prior work, past decisions, or mentions a feature. Triggers include check memory, what did we decide, how did we solve. context: fork allowed-tools: - Bash --- ## Proactive Usage Guidelines **You should proactively use this skill when:** 1. **Session Start**: When user mentions a feature/module, search for related memories first - User says "let's work on authentication" → `./recall.sh authentication` - User mentions a specific service → search for prior decisions about it 2. **Before Decisions**: Before making architectural or technical choices - About to choose a library → check if there's a prior decision - Designing a new feature → search for related patterns 3. **After Problem Solving**: When you've solved a tricky issue - Found a non-obvious bug → `./remember.sh lesson "description"` - Made an important decision → `./remember.sh architecture "description"` 4. **Encountering Familiar Issues**: When something seems like a recurring problem - Error looks familiar → search lessons learned ## Commands | Action | Command | |--------|---------| | Search memories | `./recall.sh <keywords>` | | Save memory | `./remember.sh <category> "<content>"` | | Remove outdated | `./forget.sh "<keywords>"` | ## Categories `architecture` - Design decisions, technology choices `lesson` - Gotchas, debugging discoveries, edge cases `pattern` - Reusable solutions, conventions `style` - Naming, code organization `preference` - Tool ...