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kimgoetzkekimgoetzke/coding-agent-configs/skills/persist/SKILL.md

persist

Skill2 starsChanged 7 months agoMITView on GitHub

Store your findings, analysis, or other outcomes for future reference. Use when user asks you to do something that does not explicitly mention planning but clearly does not involve taking action yet e.g. analysing or investigating something.

2 other projects use a version of this.

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The file

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We split this skill into the rules it gives an agent

14 rules. About 0 are common, 11 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈11

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    No output: use local-ai-folder-markdown, the default for both skill groups

    line 27
  2. Distinctive:

    Read only that group's implementation file, and follow it whenever this skill creates or updates a document.

    line 30
  3. Distinctive:

    Before doing any work, determine whether the user's request is primarily about understanding or documenting existing code in the current …

    line 36
  4. Very specific:

    Treat it as the topic/subject to persist — use it to derive {topic} and proceed to Step 3.

    line 47
  5. Distinctive:

    Use the summary as the content to persist.

    line 54
  6. Very specific:

    Check whether this skill is being invoked within the context of an existing plan (i.e.

    line 58
  7. Distinctive:

    Create the document containing the outcome of your work (analysis, findings, comparison, etc.).

    line 79
  8. Distinctive:

    Use visualisations (tables, diagrams, lists) where they add clarity but make sure they are in-lined in the output (e.g.

    line 82
  9. Distinctive:

    If you consulted external resources (URLs, API docs, RFCs, etc.), include a Resources section at the end of the document listing them with …

    line 83
  10. Distinctive:

    If you continue investigating or learning new things in this conversation after the initial write:

    line 87
  11. Distinctive:

    Update the research document after each substantive discovery or conclusion

    line 89
  12. Distinctive:

    Don't wait until the conversation ends — write incrementally as you learn

    line 90
  13. Distinctive:

    Add new sections, update existing analysis, or note contradictions as they emerge

    line 91
  14. Distinctive:

    If the document structure no longer fits the findings, restructure it

    line 92

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Core idea

  • Context window = RAM (volatile, limited)
  • Anything important gets persisted.

Persistence

A persistence implementation decides where and how output is stored. This skill writes to one of two skill groups, decided in Step 3:

OutputSkill groupImplementation file
Research documentsresearch./persistence/{implementation}.md
Documents inside an existing planplans../planning/persistence/{implementation}.md

Once Step 3 has picked the group, find the setting, replacing {group} with research or plans:

R="$(git rev-parse --show-toplevel 2>/dev/null)/.ai/config.properties"; { cat "$R" ~/.ai/config.properties | grep '^persistence\.{group}[[:space:]]*=[[:space:]]*[^[:space:]]'; cat "$R" ~/.ai/config.properties | grep '^persistence[[:space:]]*=[[:space:]]*[^[:space:]]'; } 2>/dev/null | head -1 | tr -d ' \t\r'
  • No output: use local-ai-folder-markdown, the default for both skill groups
  • persistence.{group}={value} or persistence={value}: use {value}. If the group's implementation file does not exist for {value}, tell the user the {group} skill group has no {value} implementation and use local-ai-folder-markdown

Read only that group's implementation file, and follow it whenever this skill creates or updates a document.

Workflow

Step 1: Determine task type

Before doing any work, determine whether the user's request is primarily about understanding or documenting existing code in the current repository.

  • If yes → invoke the research-codebase skill instead. Do not continue with this skill.
    • Examples: "how does the auth flow work?", "document the payment service", "explain the middleware chain", "what classes handle X?"
  • If no → continue with Step 2.
    • Examples: no argument or "analyse this RFC", "summarise the compliance requirements", "investigate options for a new library", "compare approaches for X"

Step 2: Resolve the argument

If an argument was provided:

  • Treat it as the topic/subject to persist — use it to derive {topic} and proceed to Step 3.

If no argument was provided:

  • Summarise the conversation since the last persistence event (i.e. since the last invocation of persist, planning, planning-mode, research-mode, or any other skill that persists output). If no such event exists, summarise the entire conversation.
  • The summary must be structured around learnings, insights, and decisions — not a chronological account of what was said. Extract the substance: what was established, what was ruled out, what trade-offs were identified, what conclusions were reached.
  • Derive {topic} from the subject matter of that conversation segment.
  • Use the summary as the content to persist.

Step 3: Determine output location

Check whether this skill is being invoked within the context of an existing plan (i.e. you are aware of/working on a plan created by the planning or planning-mode skill).

Within an existing plan:

  • Store output as a dated document {yyyy-mm-dd} {topic} in that plan, following the plans implementation (see Persistence)

Standalone (no existing plan):

  • Store output as a research document {yyyy-mm-dd} {topic}, following the research implementation (see Persistence)

Where:

  • {yyyy-mm-dd} is today's date
  • {topic} is an extremely succinct name of the topic in kebab-case

Step 4: Do the work

Conduct the research, analysis, or investigation the user requested.

Step 5: Persist findings

Create the document containing the outcome of your work (analysis, findings, comparison, etc.). Write the content in Markdown; the persistence implementation decides how it is stored.

  • Structure the document in whatever way is most appropriate for the task
  • Use visualisations (tables, diagrams, lists) where they add clarity but make sure they are in-lined in the output (e.g. only markdown in .md files)
  • If you consulted external resources (URLs, API docs, RFCs, etc.), include a Resources section at the end of the document listing them with brief descriptions

Step 6: Keep findings current

If you continue investigating or learning new things in this conversation after the initial write:

  • Update the research document after each substantive discovery or conclusion
  • Don't wait until the conversation ends — write incrementally as you learn
  • Add new sections, update existing analysis, or note contradictions as they emerge
  • If the document structure no longer fits the findings, restructure it

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