Agent skill

Context Retrospective

by jwynia in jwynia/agent-skills

Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements.

MITAuto-check passedProduct & Project Management

Install Context Retrospective

skills CLI
$ npx skills add jwynia/agent-skills --skill context-retrospective -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jwynia/agent-skills context-retrospective --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jwynia/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/general/meta/context-retrospective .claude/skills/context-retrospective && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
context-retrospective
GitHub stars
170
Token cost
~2.7k tokens
SKILL.md length
1,084 words
Files
1
Skills in repo
111
Repo updated
First seen
Licence
MIT

At a glance

Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements.

  • Works in 12 steps: Knowledge Gap Identification → Context Boundary Violations → Navigation and Discovery Patterns → …
  • Tasks that involve Retrospectives
  • SKILL.md covers Purpose, Core Principle, Analysis Dimensions and Retrospective Process, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Context Retrospective is an agent skill from jwynia/agent-skills. Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements. Use after significant agent interactions or to improve context networks.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering Retrospectives. The licence is MIT.

When your agent uses it

  • Tasks that involve Retrospectives

Example prompts

  • “/context-retrospective”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Knowledge Gap Identification
  2. Context Boundary Violations
  3. Navigation and Discovery Patterns
  4. Task-Context Alignment
  5. Relationship Mapping Deficiencies
  6. Guidance Effectiveness
  7. Preparation
  8. Transcript Review
  9. Gap Analysis
  10. The Blame Game
  11. The Completeness Illusion
  12. The Surface Fix

What it can do on your machine

Read from SKILL.md and the folder at commit e02ec7e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Context Retrospective loads about 2.7k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 1,084 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jwynia/agent-skills at commit e02ec7e, republished under its MIT licence (© jwynia). 1,084 words, ~2,689 tokens.

Download SKILL.mdSave it as .claude/skills/context-retrospective/SKILL.md (or your agent's skills folder).
name
context-retrospective
description
Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements. Use after significant agent interactions or to improve context networks.
license
MIT
metadata.author
jwynia
metadata.version
1.0
metadata.type
utility
metadata.mode
evaluative
metadata.domain
infrastructure

Context Network Retrospective

Purpose

Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements. Extract actionable insights for enhancing both network structure and agent instructions.

Core Principle

Learn from every interaction. Each transcript reveals gaps in context, navigation issues, and guidance problems that can be systematically fixed.


Analysis Dimensions

1. Knowledge Gap Identification

Look For:

  • Questions agent couldn't answer from existing context
  • Information discovered during task that should be pre-documented
  • Repeated lookups of same information
  • Agent confusion about structure, relationships, dependencies

Questions:

  • What foundational knowledge was missing?
  • Which relationships weren't documented?
  • What context about history, decisions, or constraints was absent?
  • Which domain boundaries were unclear?

Output: Missing information nodes and relationship gaps


2. Context Boundary Violations

Look For:

  • Planning documents created outside context network
  • Implementation files placed in context areas
  • Agent uncertainty about where to place information
  • Mixed concerns within single documents

Questions:

  • Did agent distinguish context from project artifacts?
  • Were "planning stays in context network" rules followed?
  • What guidance would prevent future confusion?

Output: Boundary violations and guidance improvements needed


3. Navigation and Discovery Patterns

Look For:

  • How agent found (or failed to find) information
  • Sequences of information access
  • Dead ends or inefficient paths
  • Information that should have been connected

Questions:

  • What navigation paths did agent follow?
  • Which information should be more discoverable?
  • What logical connections were missing?
  • What hub documents would improve efficiency?

Output: Navigation improvements and missing connections


4. Task-Context Alignment

Look For:

  • Mismatches between task needs and available context
  • Information at wrong abstraction levels
  • Context too detailed or too high-level
  • Task patterns revealing organizational weaknesses

Questions:

  • Was information at appropriate abstraction for the task?
  • Did context support decision-making needs?
  • Were there cognitive load issues from organization?
  • What restructuring would support this task type?

Output: Abstraction adjustments and reorganization needs


5. Relationship Mapping Deficiencies

Look For:

  • Agent difficulty understanding dependencies
  • Missing context about how changes affect other areas
  • Lack of clear interface definitions
  • Implicit relationships that should be explicit

Questions:

  • What relationships were implied but not documented?
  • Which dependencies were discovered during task?
  • What impact relationships were unclear?
  • Where would explicit documentation have helped?

Output: Missing relationships and documentation needs


6. Guidance Effectiveness

Look For:

  • Agent behavior suggesting unclear guidance
  • Task approaches deviating from optimal patterns
  • Mode switching decisions and appropriateness
  • Tool usage relative to restrictions

Questions:

  • Did agent follow mode-appropriate patterns?
  • Were mode transitions handled effectively?
  • What guidance was missing or unclear?
  • Did restrictions support the purpose?

Output: Guidance refinements and rule clarifications


Retrospective Process

Phase 1: Preparation
  1. Context Gathering

    • Load current context network state
    • Identify agent mode(s) used
    • Note task type and complexity
    • Review applicable rules
  2. Baseline

    • Map context available at task start
    • Identify active guidance
    • Note recent network changes
    • Document expected vs. actual behavior
Phase 2: Transcript Review
  1. Chronological Analysis

    • Track information seeking patterns
    • Note decision points where context influenced choices
    • Identify struggle points
    • Map actual navigation paths
  2. Critical Incidents

    • Flag confusion or inefficiency
    • Identify boundary violations
    • Note "rediscovery" of information
    • Mark where better context would have helped
  3. Pattern Recognition

    • Recurring information needs
    • Systematic gaps in knowledge areas
    • Consistent navigation difficulties
    • Successful context utilization
Phase 3: Gap Analysis
  1. Information Architecture

    • Map knowledge coverage gaps
    • Evaluate abstraction appropriateness
    • Assess relationship completeness
    • Review navigation effectiveness
  2. Guidance System

    • Analyze mode-specific guidance
    • Review boundary rule clarity
    • Evaluate instruction completeness
    • Assess prompt override needs
  3. Prioritization

    • Critical: Caused task failure or significant inefficiency
    • High: Required real-time discovery
    • Medium: Would enhance efficiency
    • Low: Nice-to-have improvements

Analysis Templates

Knowledge Gap
markdown
## Gap: [Name]

**Discovery Context:** [When/how revealed]
**Task Impact:** [How it affected completion]
**Information Type:** [Domain/Process/Relationship/Decision criteria]
**Recommended Action:** [Specific node or relationship to add]
**Priority:** [Critical/High/Medium/Low]
**Related Gaps:** [Connected gaps]
Navigation Issue
markdown
## Issue: [Name]

**Problem Pattern:** [What difficulty occurred]
**Information Sought:** [What agent wanted]
**Current Path:** [How agent actually found it]
**Optimal Path:** [How it should be discoverable]
**Recommended Improvement:** [Specific changes]
**Affected Tasks:** [What else would benefit]
Guidance Assessment
markdown
## Guidance: [Mode/Rule Area]

**Expected Behavior:** [What guidance should produce]
**Actual Behavior:** [What agent did]
**Deviation Analysis:** [Why different]
**Guidance Clarity:** [Current clarity level]
**Recommended Changes:** [Specific modifications]
**Test Scenarios:** [How to validate]

Quality Metrics

Completeness
  • Information Coverage: % of questions answerable from context
  • Relationship Completeness: Documented vs. discovered relationships
  • Navigation Efficiency: Steps vs. optimal paths
  • Boundary Compliance: % correct domain placements
Effectiveness
  • Task Completion Quality: Success rate with available context
  • Agent Confidence: Frequency of uncertainty expressions
  • Context Utilization: % of relevant context actually used
  • Discovery vs. Lookup: New discoveries vs. existing use
Show full SKILL.md (444 more words)Show less
Evolution
  • Context Network Growth: New nodes/relationships rate
  • Guidance Refinement: Rule update frequency
  • Pattern Recognition: Recurring improvement themes
  • System Maturity: Decreasing structural changes

Common Patterns & Solutions

PatternSolution
Repeatedly seeks same infoCreate hub document, improve linking
Confusion about file placementEnhance boundary guidance with examples
Task context scatteredCreate task-specific entry points
Decisions without consulting contextStrengthen "consult before action" guidance
Info not at right abstractionMulti-layered nodes with progressive disclosure

Implementation Priority

Phase 1: Critical Infrastructure

  • Fix boundary violations
  • Add missing foundational knowledge
  • Repair broken relationships

Phase 2: Navigation Enhancement

  • Improve discoverability
  • Create hub documents
  • Strengthen cross-domain connections

Phase 3: Guidance Refinement

  • Update mode-specific instructions
  • Clarify ambiguous rules
  • Enhance prompts for common tasks

Phase 4: Optimization

  • Fine-tune abstraction levels
  • Optimize for discovered workflows
  • Enhance metadata systems

Anti-Patterns

1. The Blame Game

Pattern: Attributing interaction failures to agent capability rather than context gaps. "The agent should have known..." Why it fails: Agents operate from context. If context is incomplete, even capable agents fail. Blaming agents prevents systemic improvement. Fix: Assume context gaps first. Ask "what information would have prevented this?" before "why didn't the agent figure it out?"

2. The Completeness Illusion

Pattern: Believing context networks can capture everything. Adding more and more information hoping to prevent all failures. Why it fails: Context networks grow without bound. Navigation becomes impossible. Signal-to-noise ratio degrades. Maintenance becomes unsustainable. Fix: Focus on high-impact gaps. Prioritize what actually caused failures. Remove outdated information as aggressively as you add new.

3. The Surface Fix

Pattern: Fixing the specific issue without identifying the pattern. Adding a fact that was missing without asking why it was missing. Why it fails: Treats symptoms, not causes. The same class of gap will appear elsewhere. Whack-a-mole maintenance. Fix: Classify gaps by type. If the gap is "missing relationship documentation," the fix is improving relationship capture, not adding one relationship.

4. The Retrospective-Only

Pattern: Running retrospectives but never implementing changes. Analysis paralysis or action avoidance. Why it fails: Insight without action produces no improvement. Accumulating analysis without implementation wastes the analysis effort. Fix: Every retrospective must produce at least one actionable change. Schedule implementation before finishing retrospective.

5. The Guidance Overdose

Pattern: Adding more rules and restrictions after every failure. Context networks become constraint lists. Why it fails: Excessive guidance produces paralysis. Agents become afraid to act. Guidance conflicts emerge. Nobody reads the rules. Fix: Before adding guidance, consider removing it. Simplify before complexifying. Test if clearer boundaries achieve more than more rules.

Integration Points

Inbound:

  • After any significant agent interaction
  • After task failures or inefficiencies
  • During context network maintenance

Outbound:

  • To context network updates
  • To guidance/instruction improvements

Complementary:

  • Context Networks framework
  • Agent mode configurations

© jwynia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/general/meta/context-retrospective of jwynia/agent-skills.

Open the folder on GitHubat commit e02ec7e

Compare with similar skills

Context Retrospective next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Context Retrospective compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Context Retrospective this skilljwynia/agent-skills170—~2.7kAutomated safety check: PassMIT
Weekly Engineering Retrogarrytan/gstack136k—~2.4kAutomated safety check: PassMIT
Dough Execute Planterryyin/lizard2.5k—~4.3kAutomated safety check: PassCustom licence
Oral Paper SkillAdkid-Zephyr/oral-paper-skill357—~1.9kAutomated safety check: PassNone
Deck Retroasheshgoplani/agent-deck1.1k—~1.8kAutomated safety check: PassMIT
Dough Execution Retrospectiveterryyin/lizard2.5k—~4kAutomated safety check: PassCustom licence

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Questions about Context Retrospective

What does Context Retrospective do?

Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements. Context Retrospective is an agent skill from jwynia/agent-skills. Analyze agent-user interaction transcripts to identify context network maintenance needs and guidance improvements.

When should I use Context Retrospective?

Context Retrospective fits situations like: tasks that involve Retrospectives.

How do I install Context Retrospective in Claude Code?

Run `npx skills add jwynia/agent-skills --skill context-retrospective -a claude-code`. Or copy the skill folder (skills/general/meta/context-retrospective in jwynia/agent-skills) into .claude/skills/context-retrospective in your project. Claude Code loads it when a task matches its description.

How do I install Context Retrospective in Codex?

Run `npx skills add jwynia/agent-skills --skill context-retrospective -a codex`. Or copy the skill folder (skills/general/meta/context-retrospective in jwynia/agent-skills) into .agents/skills/context-retrospective in your project. Codex loads it when a task matches its description.

Can I use Context Retrospective in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jwynia/agent-skills --skill context-retrospective -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/context-retrospective, .gemini/skills/context-retrospective, .github/skills/context-retrospective and .opencode/skills/context-retrospective in your project.

What does Context Retrospective need to run?

SKILL.md names no scripts, command-line tools or credentials: Context Retrospective is instructions for the agent only.

Does Context Retrospective access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Context Retrospective safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Context Retrospective use?

Context Retrospective is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Context Retrospective use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Context Retrospective?

Skills that share tags, products or a category with Context Retrospective: Weekly Engineering Retro (garrytan/gstack, 136k stars), Dough Execute Plan (terryyin/lizard, 2.5k stars), Oral Paper Skill (Adkid-Zephyr/oral-paper-skill, 357 stars) and Deck Retro (asheshgoplani/agent-deck, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Context Retrospective?

jwynia (a GitHub user) maintains it in jwynia/agent-skills, which has 170 GitHub stars. The repository holds 111 skills in this directory. The repository was last updated on February 24, 2026.

Source: jwynia/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.