Skip to main content

evolve-agent

Evolve an existing agent definition by refining its persona in-place or creating an advanced variant. Covers assessing the current agent against best practices, gathering evolution requirements, choosing scope (refinement vs. variant), applying changes to skills, tools, capabilities, and limitations, updating version metadata, and synchronizing the registry and cross-references. Use when an agent's skills list is outdated, user feedback reveals capability gaps, tool requirements have changed, an advanced variant is needed alongside the original, or the agent's scope needs sharpening after real-world use.

Zur Installation springen

Quellinformationen

Repository
pjt222/agent-almanac
Letzte Quellaktivität
15. September 2026 um 08:59
Erkannte Sprache von SKILL.md
Englisch
Sterne
34
Forks
4

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
evolve-agent
description
Evolve an existing agent definition by refining its persona in-place or creating an advanced variant. Covers assessing the current agent against best practices, gathering evolution requirements, choosing scope (refinement vs. variant), applying changes to skills, tools, capabilities, and limitations, updating version metadata, and synchronizing the registry and cross-references. Use when an agent's skills list is outdated, user feedback reveals capability gaps, tool requirements have changed, an advanced variant is needed alongside the original, or the agent's scope needs sharpening after real-world use.
license
MIT
allowed-tools
Read Write Edit Bash Grep Glob
metadata
{"author":"Philipp Thoss","version":"2.0","domain":"general","complexity":"intermediate","language":"multi","tags":"meta, agent, evolution, maintenance, versioning"}
# Evolve an Existing Agent Improve, extend, or create an advanced variant of an agent that was originally authored with `create-agent`. This procedure covers the maintenance side of the agent lifecycle: assessing gaps against best practices, applying targeted improvements to the persona definition, bumping versions, and keeping the registry and cross-references in sync. ## When to Use - An agent's skills list is outdated after new skills were added to the library - User feedback reveals missing capabilities, unclear purpose, or weak examples - Tool requirements have changed (new MCP server, tool removed, privilege reduction needed) - An agent's scope needs sharpening — it overlaps with another agent or is too broad - An advanced variant is needed alongside the original (e.g., `r-developer` and `r-developer-advanced`) - Related agents or teams were added and cross-references in See Also are stale ## Inputs - **Required**: Path to the existing agent file to evolve (e.g., `agents/r-developer.md`) - **Required**: Evolution trigger (feedback, new skills, tool change, scope overlap, team integration, discovered limitations) - **Optional**: Target version bump magnitude (patch, minor, major) - **Optional**: Whether to create an advanced variant instead of refining in-place (default: refine in-place) ## Procedure ### Step 1: Assess the Current Agent Read the existing agent file and evaluate each section against the quality checklist from `guides/agent-best-practices.md`: | Section | What to Check | Common Issues | |---|---|---| | Frontmatter | All required fields present (`name`, `description`, `tools`, `model`, `version`, `author`) | Missing `tags`, stale `version`, wrong `priority` | | Purpose | Specific problem statement, not generic "helps with X" | Vague or overlapping with another agent | | Capabilities | Concrete, verifiable capabilities with bold lead-ins | Generic ("handles development"), no grouping | | Available Skills | Matches frontmatter `skills` list, all IDs exist in registry | Stale IDs, missing new skills, lists default skills unnecessarily | | Usage Scenarios | 2-3 realistic scenarios with invocation patterns | Placeholder text, unrealistic examples | | Examples | Shows user request and agent behavior | Missing or trivial examples | | Limitations | 3-5 honest constraints | Too few, too vague, or missing entirely | | See Also | Valid cross-references to agents, guides, teams | Stale links to renamed or removed files | ```bash # Read the agent file cat agents/<agent-name>.md # Check frontmatter parses head -20 agents/<agent-name>.md # Verify skills in frontmatter exist in registry grep "skills:" -A 20 agents/<agent-name>.md # Check if agent is referenced by any team grep -r "<agent-name>" teams/*.md ``` **Expected:** A list of specific gaps, weaknesses, or improvement opportunities organized by section. **On failure:** If the agent file does not exist or has no frontmatter, this skill does not apply — use `create-agent` instead to author it from scratch. ### Step 2: Gather Evolution Requirements Identify and categorize what triggered the evolution: | Trigger | Example | Typical Scope | |---|---|---| | User feedback | "Agent missed XSS in review" | Add skill or capability | | New skills available | Library gained `analyze-api-security` | Update skills list | | Tool change | New MCP server available | Add to tools/mcp_servers | | Scope overlap | Two agents both claim "code review" | Sharpen purpose and limitations | | Team integration | Agent added to a new team | Update See Also, verify capabilities | | Model upgrade | Task requires deeper reasoning | Change model field | | Privilege reduction | Agent has Bash but only reads files | Remove unnecessary tools | Document the specific changes needed before editing. List each change with its target section: ```text - Frontmatter: add `new-skill-id` to skills list - Capabilities: add "API Security Analysis" capability - Available Skills: add `new-skill-id` with description - Limitations: remove outdated limitation about missing skill - See Also: add link to new team that includes this agent ``` **Expected:** A concrete list of changes, each mapped to a specific section of the agent file. **On failure:** If the changes are unclear, consult the user for clarification before proceeding. Vague evolution goals produce vague improvements. ### Step 3: Choose Evolution Scope Use this decision matrix to determine whether to refine in-place or create a variant: | Criteria | Refinement (in-place) | Advanced Variant (new agent) | |---|---|---| | Agent ID | Unchanged | New ID: `<agent>-advanced` or `<agent>-<specialty>` | | File path | Same `.md` file | New file in `agents/` | | Version bump | Patch or minor | Starts at 1.0.0 | | Model | May change | Often higher (e.g., sonnet → opus) | | Registry | Update existing entry | New entry added | | Original agent | Modified directly | Left intact, gains See Also cross-reference | **Refinement**: Choose when updating skills, fixing documentation, sharpening scope, or adjusting tools. The agent keeps its identity. **Variant**: Choose when the evolved version would serve a substantially different audience, require a different model, or add capabilities that would make the original too broad. The original stays as-is for simpler use cases. **Expected:** A clear decision — refinement or variant — with rationale. **On failure:** If unsure, default to refinement. You can always extract a variant later; it is harder to merge one back. ### Step 4: Apply Changes to the Agent File #### For Refinements Edit the existing agent file directly: - **Frontmatter**: Update `skills`, `tools`, `tags`, `model`, `priority`, `mcp_servers` as needed - **Purpose/Capabilities**: Revise to reflect new scope or added functionality - **Available Skills**: Add new skills with descriptions, remove deprecated ones - **Usage Scenarios**: Add or revise scenarios to demonstrate new capabilities - **Limitations**: Remove constraints that no longer apply, add new honest ones - **See Also**: Update cross-references to reflect current agent/team/guide landscape Follow these editing rules: - Preserve all existing sections — add content, do not remove sections - Keep the Available Skills section in sync with the frontmatter `skills` list - Do not add default skills (`meditate`, `heal`) to frontmatter unless they are core to the agent's methodology - Verify each skill ID exists: `grep "id: skill-name" skills/_registry.yml` #### For Variants ```bash # Copy the original as a starting point cp agents/<agent-name>.md agents/<agent-name>-advanced.md # Edit the variant: # - Change `name` to `<agent-name>-advanced` # - Update `description` to reflect the advanced scope # - Raise `model` if needed (e.g., sonnet → opus) # - Reset `version` to "1.0.0" # - Expand skills, capabilities, and examples for the advanced use case # - Reference the original in See Also as a simpler alternative ``` **Expected:** The agent file (refined or new variant) passes the assessment checklist from Step 1. **On failure:** If an edit breaks the document structure, use `git diff` to review changes and revert partial edits with `git checkout -- <file>`. ### Step 4.5: Sync Translated Variants > **Required when translations exist.** Applies to human authors and AI agents > alike. **Do not bump `source_commit`** — an evolve run that changes English > without retranslating leaves every provenance field untouched, and the staleness > it creates is true rather than noise (#405, #616). Check which translations exist for the evolved agent. They are about to become stale, and this step is how you leave them honestly stale rather than falsely fresh: ```bash # Check for existing translations ls i18n/*/agents/<agent-name>.md 2>/dev/null ``` #### Which provenance field may move, and by what `scripts/lib/provenance.js` is the authority on this; the table is its summary. | Field | Moves when | Moved by | |---|---|---| | `source_commit` | a **human** retranslates against a newer English revision | that human, in the commit carrying the retranslated prose | | `fence_basis_commit` | frozen-fence bytes are propagated into the mirror **and verified** | `normalize-i18n-fences.js` when it does the propagating; `tools/provenance-field.mjs` when you propagate by hand, after `check:fence-propagation` passes | Which of those applies depends on **what you edited**, and getting this wrong is how a provenance field becomes a false claim: - **Prose only** — neither field moves. The mirror is genuinely stale afterwards, `npm run validate:translations` is right to say so, and bumping `source_commit` would assert a translation event that never happened, suppressing the one signal that would have surfaced the drift (#405, #616). - **A frozen fence** — `source_commit` still does not move, but the mirrors' fence bodies just changed, so every `fence_basis_commit` naming the old revision is now false. Step 2 below restamps them. Leaving them is the failure this table exists to prevent. - **A retranslation of one locale** — that locale's `source_commit` moves, in the commit carrying the prose, and the others' do not. `normalize-i18n-fences.js` is named above for the case where it does the propagating. It does **not** fire on a hand propagation — measured on this skill's own rewrite, where a preview reported five files to change and not one was a mirror of these skills. Do not wait for it to restamp what you copied by hand. Never repair a provenance field in bulk with `sed`. The form this step used to carry was a substitution anchored at `^source_commit` — column 0 — which silently no-ops on every mirror that nests provenance under `metadata:` at two-space indent: wrong and unreliable at once. Route any bulk field edit through `tools/provenance-field.mjs`, which is indent-aware and refuses to move `source_commit` unless you declare you are the human retranslating. (That anchored form is deliberately not reproduced here. #616's acceptance criterion is a grep, and prose quoting the thing it forbids would defeat the check that proves the thing is gone.) 1. Read which mirrors this change made stale, and leave them stale: ```bash npm run validate:translations ``` 2. If you edited a **frozen fence** in English, its bytes must reach all four mirrors in this same commit, verified by bytes rather than by the fence gate — that gate accepts a body from any English revision, so it cannot tell you whether your edit landed. Then restamp the mirrors you touched, because their old `fence_basis_commit` now names a revision whose fences they no longer carry: ```bash npm run check:fence-propagation -- --id <agent-name> node tools/provenance-field.mjs --field fence_basis_commit --set $(git rev-parse --short HEAD) <mirror paths> ``` 3. Flag the affected locales in the commit message, naming what changed: ```text evolve(<agent-name>): <description of changes> Translations now stale, source_commit deliberately NOT bumped: de, zh-CN, ja, es Changed sections: <list sections that changed> ``` 4. Regenerate the translation status files: ```bash npm run translation:status ``` #### If no translations exist No action needed. Proceed to Step 5. #### For variants Defer translation of new variants until the variant stabilizes (1-2 versions). Add translations after the variant has been refined at least once. **Expected:** `source_commit` unchanged everywhere. `npm run validate:translations` reports more stale mirrors than before — that count rising is the correct outcome of an evolve run, not a failure to repair. If you edited a frozen fence, `fence_basis_commit` on the mirrors you touched names the commit carrying the new bytes; if you edited only prose, no provenance field moved at all. If a frozen fence was edited, `check:fence-propagation` shows every mirror carrying the new bytes. `npm run translation:status` exits 0. **On failure:** If `check:fence-propagation` reports a mirror whose fence body differs, the byte-copy did not reach it: copy the English fence body verbatim into that mirror and re-run — and read its output rather than its exit code, which it shares with the `unalignable` case. If a frontmatter field genuinely needs a bulk edit, use `tools/provenance-field.mjs`; a substitution anchored at column 0 matches nothing in a mirror that nests provenance under `metadata:`, and reports success while changing nothing. ### Step 5: Update Version and Metadata Bump the `version` field in frontmatter following semantic versioning: | Change Type | Version Bump | Example | |---|---|---| | Typo fix, wording clarification | Patch: 1.0.0 → 1.0.1 | Fixed unclear limitation | | New skills added, capability expanded | Minor: 1.0.0 → 1.1.0 | Added 3 new skills from library | | Restructured purpose, changed model | Major: 1.0.0 → 2.0.0 | Narrowed scope, upgraded to opus | Also update: - `updated` date to the current date - `tags` if the agent's domain coverage changed - `description` if the purpose is materially different - `priority` if the agent's importance relative to others changed **Expected:** Frontmatter `version` and `updated` reflect the magnitude and date of changes. New variants start at `"1.0.0"`. **On failure:** If you forget to bump the version, the next evolution will have no way to distinguish the current state from the previous one. Always bump before committing. ### Step 6: Update Registry and Cross-References #### For Refinements Update the existing entry in `agents/_registry.yml` to match the revised frontmatter: ```bash # Find the agent's registry entry grep -A 10 "id: <agent-name>" agents/_registry.yml ``` Update `description`, `tags`, `tools`, and `skills` fields to match the agent file. No count change is needed. Update cross-references in other files if the agent's capabilities or name changed: ```bash # Check if any team references this agent grep -r "<agent-name>" teams/*.md # Check if any guide references this agent grep -r "<agent-name>" guides/*.md ``` #### For Variants Add the new agent to `agents/_registry.yml` in alphabetical position: ```yaml - id: <agent-name>-advanced path: agents/<agent-name>-advanced.md description: One-line description of the advanced variant tags: [domain, specialty, advanced] priority: normal tools: [Read, Write, Edit, Bash, Grep, Glob] skills: - skill-id-one - skill-id-two ``` Then: 1. Increment `total_agents` at the top of the registry 2. Add See Also cross-reference in the original agent pointing to the variant 3. Add See Also cross-reference in the variant pointing to the original 4. The `.claude/agents/` symlink to `agents/` means the variant is automatically discoverable **Expected:** Registry entry matches the agent file frontmatter. For variants, `total_agents` equals the actual number of agent entries. **On failure:** Count entries with `grep -c "^ - id:" agents/_registry.yml` and verify it matches `total_agents`. ### Step 7: Validate the Evolved Agent Run the full validation checklist: - [ ] Agent file exists at the expected path - [ ] YAML frontmatter parses without errors - [ ] `version` was bumped (refinement) or set to "1.0.0" (variant) - [ ] `updated` date reflects today - [ ] All required sections present: Purpose, Capabilities, Available Skills, Usage Scenarios, Examples, Limitations, See Also - [ ] Skills in frontmatter match the Available Skills section - [ ] All skill IDs exist in `skills/_registry.yml` - [ ] Default skills (`meditate`, `heal`) are not listed unless core to methodology - [ ] Tools list follows least-privilege principle - [ ] Registry entry exists and matches frontmatter - [ ] For variants: `total_agents` count matches actual count on disk - [ ] Cross-references are bidirectional (original ↔ variant) - [ ] `git diff` shows no accidental deletions from the original content ```bash # Verify frontmatter head -20 agents/<agent-name>.md # Check skills exist for skill in skill-a skill-b; do grep "id: $skill" skills/_registry.yml done # Count agents on disk vs registry ls agents/*.md | grep -v template | wc -l grep total_agents agents/_registry.yml # Review all changes git diff ``` **Expected:** All checklist items pass. The evolved agent is ready to commit. **On failure:** Address each failing item individually. The most common post-evolution issues are stale skill IDs in the Available Skills section and a forgotten `updated` date. ## Validation - [ ] Agent file exists and has valid YAML frontmatter - [ ] `version` field reflects the changes made - [ ] `updated` date is current - [ ] All sections present and internally consistent - [ ] Frontmatter `skills` array matches the Available Skills section - [ ] All skill IDs exist in `skills/_registry.yml` - [ ] Default skills not listed unnecessarily - [ ] Registry entry matches the agent file - [ ] For variants: new entry in `agents/_registry.yml` with correct path - [ ] For variants: `total_agents` count updated - [ ] Cross-references are valid (no broken links in See Also) - [ ] For refinements with translations: no provenance field moved; the now-stale locales named in the commit message - [ ] `git diff` confirms no accidental content removal ## Common Pitfalls - **Forgetting to bump version**: Without version bumps, there is no way to track what changed or when. Always update `version` and `updated` in frontmatter before committing. - **Skills list drift**: The frontmatter `skills` array and the `## Available Skills` section must stay in sync. Updating one without the other creates confusion for both humans and tooling. - **Listing default skills unnecessarily**: Adding `meditate` or `heal` to the frontmatter when they are already inherited from the registry. Only list them if they are core to the agent's methodology (e.g., `mystic`, `alchemist`). - **Tool over-provisioning during evolution**: Adding `Bash` or `WebFetch` during an evolution "just in case." Every tool addition should be justified by a specific new capability. - **Stale See Also after variant creation**: When creating a variant, both the original and the variant need to reference each other. One-directional references leave the graph incomplete.
Auf GitHub ansehen
Diese SKILL.md ist sehr gross, daher zeigt SkillsMP hier nur den ersten Abschnitt. Auf GitHub ansehen